Prediction of molecular subtypes of Breast Cancer
Data modification
Let’s start by loading all the necessary libraries.
Now now let’s load the Breast Cancer Proteomes data: https://www.kaggle.com/piotrgrabo/breastcancerproteomes
###loading the data
clinical <- read.csv("BC_data/clinical_data_breast_cancer.csv")
genes <- read.csv("BC_data/PAM50_proteins.csv")
proteomes <- read.csv("BC_data/77_cancer_proteomes_CPTAC_itraq.csv")The patient IDs are in a different format in the clinical dataset and the proteomic data set. This bit of code reformats the id in the clinical data set to allow joining of the two data sets on this variable.
###proteomes data modification
n <- proteomes$RefSeq_accession_number
proteomes <- as.data.frame(t(proteomes[,4:86]))
colnames(proteomes) <- n #add refseq
proteomes <- cbind(rownames(proteomes), data.frame(proteomes, row.names=NULL)) #separate the sample ID
colnames(proteomes)[1] <- "Complete.TCGA.ID" #the same name of column in clinical data
###sample ID
get_sample_id <- function(proteome_id) {
x = substr(proteome_id, 4, 7)
y = substr(proteome_id, 0, 2)
paste("TCGA",y,x,sep="-")
}
proteomes$Complete.TCGA.ID <- sapply(proteomes$Complete.TCGA.ID, get_sample_id)
proteomes_id <- proteomesNow let’s count the missing data by column and plots a graph to show the proportion of missing data for each variable.
###missing data
NA_counts <- colSums(is.na(proteomes))/nrow(proteomes)
plot(sort(NA_counts, decreasing = TRUE), col = 'blue', type = 'h', xlab = "index of proteome",
ylab="proportion of missing data", main = "Missing data for proteome data")
length(NA_counts[NA_counts>0.25]) #2251 missing data## [1] 2251#remove variables with >25% missing data
proteomes <- proteomes[ , colSums(is.na(proteomes)) / nrow(proteomes) < 0.25]
for (i in which(sapply(proteomes, is.numeric))) { #loop to impute means for remaining missing data
proteomes[is.na(proteomes[, i]), i] <- mean(proteomes[, i], na.rm = TRUE)
}
data <- inner_join(clinical, proteomes, by = "Complete.TCGA.ID") #inner join to create full data
colnames(data)[3] <- "diag_age" #col name change for 3 columnHow many patients there are with a given molecular subtypes of breast cancer?
###barplot
(ggplot(data, aes(x=PAM50.mRNA, fill=PAM50.mRNA)) + geom_bar() + ggtitle("Breast Cancer Subtype")) 
PCA and T-SNE Analysis
###PCA
data.pca <- prcomp(data[,32:length(data)], center = TRUE, scale. = TRUE)
summary(data.pca)## Importance of components:
## PC1 PC2 PC3 PC4 PC5 PC6
## Standard deviation 33.3456 28.50017 26.60960 21.11253 19.30501 17.69423
## Proportion of Variance 0.1079 0.07885 0.06874 0.04327 0.03618 0.03039
## Cumulative Proportion 0.1079 0.18680 0.25553 0.29881 0.33499 0.36538
## PC7 PC8 PC9 PC10 PC11 PC12
## Standard deviation 16.3953 15.42007 15.20367 14.64010 14.37497 13.29314
## Proportion of Variance 0.0261 0.02308 0.02244 0.02081 0.02006 0.01715
## Cumulative Proportion 0.3915 0.41456 0.43700 0.45780 0.47786 0.49502
## PC13 PC14 PC15 PC16 PC17 PC18
## Standard deviation 12.97493 12.89127 12.43970 11.99729 11.84122 11.51675
## Proportion of Variance 0.01634 0.01613 0.01502 0.01397 0.01361 0.01288
## Cumulative Proportion 0.51136 0.52749 0.54252 0.55649 0.57010 0.58298
## PC19 PC20 PC21 PC22 PC23 PC24
## Standard deviation 11.38225 11.2543 11.09442 10.92804 10.84507 10.59910
## Proportion of Variance 0.01258 0.0123 0.01195 0.01159 0.01142 0.01091
## Cumulative Proportion 0.59555 0.6079 0.61980 0.63139 0.64281 0.65372
## PC25 PC26 PC27 PC28 PC29 PC30
## Standard deviation 10.4020 10.27133 10.03670 9.87831 9.82485 9.79822
## Proportion of Variance 0.0105 0.01024 0.00978 0.00947 0.00937 0.00932
## Cumulative Proportion 0.6642 0.67446 0.68424 0.69371 0.70308 0.71240
## PC31 PC32 PC33 PC34 PC35 PC36 PC37
## Standard deviation 9.69887 9.6311 9.4116 9.38675 9.29474 9.22082 9.05199
## Proportion of Variance 0.00913 0.0090 0.0086 0.00855 0.00839 0.00825 0.00795
## Cumulative Proportion 0.72154 0.7305 0.7391 0.74769 0.75608 0.76433 0.77229
## PC38 PC39 PC40 PC41 PC42 PC43 PC44
## Standard deviation 8.95921 8.92831 8.87769 8.79547 8.67509 8.6108 8.55630
## Proportion of Variance 0.00779 0.00774 0.00765 0.00751 0.00731 0.0072 0.00711
## Cumulative Proportion 0.78008 0.78782 0.79547 0.80298 0.81029 0.8175 0.82459
## PC45 PC46 PC47 PC48 PC49 PC50 PC51
## Standard deviation 8.47389 8.38387 8.27060 8.20864 8.14506 8.07420 8.02796
## Proportion of Variance 0.00697 0.00682 0.00664 0.00654 0.00644 0.00633 0.00626
## Cumulative Proportion 0.83156 0.83839 0.84503 0.85157 0.85801 0.86434 0.87059
## PC52 PC53 PC54 PC55 PC56 PC57 PC58
## Standard deviation 7.94363 7.89784 7.88287 7.80878 7.77427 7.6621 7.61888
## Proportion of Variance 0.00613 0.00606 0.00603 0.00592 0.00587 0.0057 0.00564
## Cumulative Proportion 0.87672 0.88277 0.88881 0.89473 0.90059 0.9063 0.91193
## PC59 PC60 PC61 PC62 PC63 PC64 PC65
## Standard deviation 7.54252 7.4585 7.35522 7.26737 7.21361 7.17180 7.12951
## Proportion of Variance 0.00552 0.0054 0.00525 0.00513 0.00505 0.00499 0.00493
## Cumulative Proportion 0.91745 0.9228 0.92810 0.93323 0.93828 0.94327 0.94821
## PC66 PC67 PC68 PC69 PC70 PC71 PC72
## Standard deviation 7.01827 6.93988 6.88758 6.74930 6.59775 6.52105 6.37368
## Proportion of Variance 0.00478 0.00468 0.00461 0.00442 0.00423 0.00413 0.00394
## Cumulative Proportion 0.95299 0.95767 0.96227 0.96669 0.97092 0.97505 0.97899
## PC73 PC74 PC75 PC76 PC77 PC78 PC79
## Standard deviation 6.3405 6.27102 6.07648 5.78469 5.1714 4.60941 4.3017
## Proportion of Variance 0.0039 0.00382 0.00358 0.00325 0.0026 0.00206 0.0018
## Cumulative Proportion 0.9829 0.98671 0.99030 0.99354 0.9961 0.99820 1.0000
## PC80
## Standard deviation 1.709e-14
## Proportion of Variance 0.000e+00
## Cumulative Proportion 1.000e+00autoplot(data.pca, data = data, colour = 'PAM50.mRNA') + ggtitle("PCA Analysis for all BC subtypes")
###T-SNE
data.tsne <- data
data.tsne_unique <- unique(data.tsne)
data.tsne <- as.matrix(data.tsne_unique[,32:length(data.tsne)])
set.seed(1)
data.tsne_out <- Rtsne(data.tsne, pca=FALSE, perplexity=1,dims=2, theta=0.5) # Run TSNE
summary(data.tsne_out$Y)## V1 V2
## Min. :-83.756 Min. :-82.975
## 1st Qu.:-26.045 1st Qu.:-26.164
## Median : -1.118 Median : 7.204
## Mean : 0.000 Mean : 0.000
## 3rd Qu.: 19.521 3rd Qu.: 23.574
## Max. : 53.638 Max. : 69.444tsne_plot <- data.frame(x = data.tsne_out$Y[,1], y = data.tsne_out$Y[,2], col = data.tsne_unique$PAM50.mRNA) #TSNE plot
ggplot(tsne_plot) + geom_point(aes(x=x, y=y, color=col)) + ggtitle("T-SNE Analysis for all BC subtypes")
## Lasso Data ### Feature selection The Lasso regressions is used to select features introduced into the machine learning models.
###function to repeat lasso regression and return the selected model variables
lasso_sub=function(k=1, x_data, y_data) {
set.seed(k)
s=sample(nrow(data), size = 0.8*nrow(data))
x_sub=x_data[s,]
y_sub=y_data[s]
model.sub=cv.glmnet(x=x_sub, y=y_sub, alpha=1, family='multinomial')
coef.sub=coef(model.sub, s='lambda.1se')[-1]
return(coef.sub)
}
options(warn = -1) #turn off warnings
###run model 100 times
niter=100
lasso.stab=sapply(1:niter, FUN = lasso_sub, x_data = as.matrix(data[,31:ncol(data)]),
y_data=as.matrix(data[,21]))
###create a matrix of all predictor variables
lasso_matrix <- matrix(nrow=length(lasso.stab[[1]]),ncol=length(lasso.stab))
rownames(lasso_matrix) <- rownames(lasso.stab[[1]])
for (i in 1:300){ #loop through to put list contents into matrix
lasso.data.frame <- as.matrix(lasso.stab[[i]])
lasso_matrix[,i] <- lasso.data.frame
}
lasso_matrix <- ifelse(lasso_matrix != 0, 1, 0) #binary values 1/0 (selected/not selected)
lasso_matrix <- lasso_matrix[2:nrow(lasso_matrix),]
stable_variables <- as.data.frame(rowSums(lasso_matrix)) #data frame with count of how many times each variable is selected for a model
stable_variables$protein <- rownames(stable_variables) #column of variable names
colnames(stable_variables)[1] <- "times"
stable_variables <- stable_variables[!is.na(stable_variables$times),] #remove NAs
stable_variables <- stable_variables[stable_variables$times != 0,] #remove all not selected variables
stable_variables <- stable_variables[order(-stable_variables$times),] #ordering by times Now let’s move on to the visualization of the first 50 proteins obtained by lasso regression.
###plotting 50 stable variables
(ggplot(stable_variables[1:50,], aes(x=reorder(as.factor(protein),-abs(times),mean),
y=times, col =reorder(as.factor(protein),-abs(times),mean),
fill =reorder(as.factor(protein),-abs(times),mean)))
+ geom_col(show.legend = FALSE, alpha = 0.6) + theme(axis.text.x = element_text(angle = 90, hjust = 1),
axis.text=element_text(size=10))
+ xlab("Protein ID") + ylab("Times selected")
+ ggtitle("Stable variables obtained by Lasso regression"))
stab_var <- stable_variables$protein[1:50]
stab_var.ind <- which(colnames(data) %in% stab_var)
###boxplots for first 50 proteins obtained by lasso regression
plot_protein<- 1:length(stab_var[1:50])
plot_list <- list()
for (i in seq_along(plot_protein)){
plot_list[[length(plot_list)+1]] <- ggplot(data, aes_string("PAM50.mRNA", stab_var[i], col="PAM50.mRNA", fill="PAM50.mRNA")) +
geom_boxplot(alpha=0.3) + theme(axis.title.x=element_blank(), axis.text.x=element_blank(), axis.ticks.x=element_blank())
}
plot_grid(plotlist = plot_list,ncol = 1, nrow = 1) #only first one (in the BC_analysis you'll find the code for all)
###violin plots for first 50 proteins obtained by lasso regression
plot_protein<- 1:length(stab_var[1:50])
plot_list <- list()
for (i in seq_along(plot_protein)){
plot_list[[length(plot_list)+1]] <- ggplot(data, aes_string("PAM50.mRNA", stab_var[i], col="PAM50.mRNA", fill="PAM50.mRNA")) +
geom_violin(alpha=0.3) + geom_boxplot(width=0.1) + theme(axis.title.x=element_blank(), axis.text.x=element_blank(), axis.ticks.x=element_blank())
}
plot_grid(plotlist = plot_list,ncol = 1, nrow = 1) #only one (in the BC_analysis you'll find the code for all)
Using the biomaRt package, let’s create a csv file with 50 lasso proteins (gene ID, protein ID, description, times).
###create csv file with information about 50 proteins obtained by lasso regression
library(biomaRt) #biomaRt database
listEnsembl()biomart <- useEnsembl(biomart = "genes", dataset = "hsapiens_gene_ensembl")
searchAttributes(mart = biomart) #search attributesgetBM(attributes=c('external_gene_name','refseq_peptide','entrezgene_description'),filters='refseq_peptide',
values=stab_var, mart=biomart)->stab_var.biomart # biomaRt query
stable_variables.50 <- stable_variables[1:50,]
filter(stable_variables.50, stable_variables.50$protein %in% stab_var.biomart$refseq_peptide) -> time
colnames(time) <- c('times_lassoRegression', 'refseq_peptide')
stab_var.biomart <- merge(stab_var.biomart, time, by.x = 'refseq_peptide')
stab_var.biomart[order(stab_var.biomart$times_lassoRegression, decreasing = TRUE), ] -> stab_var.biomart
#write.table(stab_var.biomart, "Lasso_proteins.csv", sep = ',', row.names = F)
print(stab_var.biomart)## refseq_peptide external_gene_name
## 44 NP_660208 SPATA5
## 26 NP_005970 S100A13
## 20 NP_004453 FDFT1
## 22 NP_004522 MOCS2
## 3 NP_001160163 TTK
## 9 NP_001258898 HSP90AB1
## 15 NP_003767 MRPL40
## 39 NP_542785 KRT72
## 35 NP_060866 METTL2B
## 18 NP_004388 DDX6
## 11 NP_002005 FKBP4
## 2 NP_001135891 MORF4L2
## 19 NP_004439 ERBB2
## 42 NP_653081 OSBPL2
## 36 NP_061170 TRIM36
## 43 NP_653304 LSM14B
## 17 NP_004243 SLC9A3R1
## 29 NP_038479 MYOF
## 14 NP_003212 TFAP2B
## 25 NP_005484 RANBP9
## 46 NP_848597 DTX3
## 16 NP_003875 KAT2B
## 4 NP_001171551 STAT6
## 12 NP_002677 PNMT
## 13 NP_003144 STAT6
## 7 NP_001229372 GRB7
## 23 NP_005130 ANXA3
## 32 NP_057164 GLOD4
## 38 NP_071739 C17orf75
## 40 NP_579899 MYOF
## 1 NP_001035492 DCUN1D4
## 48 NP_940869 RSBN1L
## 24 NP_005226 ERBB4
## 34 NP_060337 HPF1
## 6 NP_001186745 GGCT
## 21 NP_004499 IDI1
## 30 NP_055644 DDX46
## 31 NP_056513 GPKOW
## 45 NP_660344 TVP23C
## 8 NP_001257810 GNPDA2
## 37 NP_065821 CGN
## 5 NP_001186744 GGCT
## 27 NP_006345 TADA3
## 28 NP_006627 MTHFD2
## 33 NP_060182 PGPEP1
## 41 NP_579917 RAD17
## 47 NP_899229 PXDC1
## 10 NP_001371 DOCK1
## entrezgene_description
## 44 spermatogenesis associated 5
## 26 S100 calcium binding protein A13
## 20 farnesyl-diphosphate farnesyltransferase 1
## 22 molybdenum cofactor synthesis 2
## 3 TTK protein kinase
## 9 heat shock protein 90 alpha family class B member 1
## 15 mitochondrial ribosomal protein L40
## 39 keratin 72
## 35 methyltransferase like 2B
## 18 DEAD-box helicase 6
## 11 FKBP prolyl isomerase 4
## 2 mortality factor 4 like 2
## 19 erb-b2 receptor tyrosine kinase 2
## 42 oxysterol binding protein like 2
## 36 tripartite motif containing 36
## 43 LSM family member 14B
## 17 SLC9A3 regulator 1
## 29 myoferlin
## 14 transcription factor AP-2 beta
## 25 RAN binding protein 9
## 46 deltex E3 ubiquitin ligase 3
## 16 lysine acetyltransferase 2B
## 4 signal transducer and activator of transcription 6
## 12 phenylethanolamine N-methyltransferase
## 13 signal transducer and activator of transcription 6
## 7 growth factor receptor bound protein 7
## 23 annexin A3
## 32 glyoxalase domain containing 4
## 38 chromosome 17 open reading frame 75
## 40 myoferlin
## 1 defective in cullin neddylation 1 domain containing 4
## 48 round spermatid basic protein 1 like
## 24 erb-b2 receptor tyrosine kinase 4
## 34 histone PARylation factor 1
## 6 gamma-glutamylcyclotransferase
## 21 isopentenyl-diphosphate delta isomerase 1
## 30 DEAD-box helicase 46
## 31 G-patch domain and KOW motifs
## 45 trans-golgi network vesicle protein 23 homolog C
## 8 glucosamine-6-phosphate deaminase 2
## 37 cingulin
## 5 gamma-glutamylcyclotransferase
## 27 transcriptional adaptor 3
## 28 methylenetetrahydrofolate dehydrogenase (NADP+ dependent) 2, methenyltetrahydrofolate cyclohydrolase
## 33 pyroglutamyl-peptidase I
## 41 RAD17 checkpoint clamp loader component
## 47 PX domain containing 1
## 10 dedicator of cytokinesis 1
## times_lassoRegression
## 44 77
## 26 76
## 20 75
## 22 72
## 3 69
## 9 69
## 15 69
## 39 68
## 35 59
## 18 58
## 11 54
## 2 44
## 19 44
## 42 44
## 36 42
## 43 41
## 17 39
## 29 34
## 14 32
## 25 29
## 46 29
## 16 28
## 4 27
## 12 27
## 13 23
## 7 22
## 23 22
## 32 22
## 38 21
## 40 20
## 1 18
## 48 18
## 24 16
## 34 16
## 6 15
## 21 15
## 30 15
## 31 15
## 45 15
## 8 14
## 37 14
## 5 13
## 27 13
## 28 13
## 33 13
## 41 13
## 47 13
## 10 12Creation the TRAIN and TEST data for Lasso data
- 70% for TRAIN data
- 30% for TEST data
###test and train split index
set.seed(1)
samp <- createDataPartition(data$PAM50.mRNA, p = 0.7, list = FALSE)
train_data <- data[samp, c(21, stab_var.ind)]
summary(train_data)## PAM50.mRNA NP_579899 NP_038479 NP_001258898
## Length:59 Min. :-3.9159 Min. :-3.9159 Min. :-1.44190
## Class :character 1st Qu.:-1.2782 1st Qu.:-1.2696 1st Qu.:-0.77219
## Mode :character Median :-0.6956 Median :-0.6863 Median : 0.06632
## Mean :-0.4095 Mean :-0.4069 Mean :-0.03541
## 3rd Qu.: 0.5315 3rd Qu.: 0.5448 3rd Qu.: 0.60987
## Max. : 3.7852 Max. : 3.7852 Max. : 1.69893
## NP_542785 NP_065821 NP_055644 NP_001371
## Min. :-8.1930 Min. :-5.2740 Min. :-1.18100 Min. :-2.28147
## 1st Qu.:-1.7331 1st Qu.:-1.8230 1st Qu.:-0.36519 1st Qu.:-0.81302
## Median : 0.2807 Median :-0.8878 Median :-0.03887 Median : 0.04352
## Mean :-0.1553 Mean :-0.8216 Mean :-0.02812 Mean : 0.05964
## 3rd Qu.: 1.9570 3rd Qu.: 0.1933 3rd Qu.: 0.25076 3rd Qu.: 0.66168
## Max. : 5.1882 Max. : 2.7069 Max. : 1.02327 Max. : 3.47779
## NP_002005 XP_003846537 NP_660208 NP_004439
## Min. :-4.6254 Min. :-1.1319 Min. :-1.495747 Min. :-5.8878
## 1st Qu.:-1.9572 1st Qu.:-0.4568 1st Qu.:-0.493138 1st Qu.:-3.8998
## Median :-0.7818 Median :-0.2423 Median :-0.049677 Median :-2.5667
## Mean :-0.7736 Mean : 0.0467 Mean :-0.008742 Mean :-1.6350
## 3rd Qu.: 0.3373 3rd Qu.: 0.4368 3rd Qu.: 0.434901 3rd Qu.:-0.7605
## Max. : 3.4240 Max. : 2.3366 Max. : 1.657515 Max. : 9.6682
## NP_005226 NP_004388 NP_001229372 NP_005130
## Min. :-6.4647 Min. :-1.47930 Min. :-6.543 Min. :-7.3499
## 1st Qu.:-2.9787 1st Qu.:-0.34719 1st Qu.:-3.539 1st Qu.:-3.2954
## Median :-1.4884 Median :-0.05218 Median :-2.685 Median :-1.2813
## Mean :-1.0411 Mean : 0.09143 Mean :-1.836 Mean :-1.0504
## 3rd Qu.: 0.1209 3rd Qu.: 0.69266 3rd Qu.:-1.169 3rd Qu.: 0.5383
## Max. :10.4454 Max. : 2.28696 Max. : 8.979 Max. : 6.3974
## NP_004243 NP_003144 NP_001171551 NP_072096
## Min. :-3.9817 Min. :-1.9798 Min. :-1.9470 Min. :-2.8719
## 1st Qu.:-2.2748 1st Qu.:-0.4536 1st Qu.:-0.4483 1st Qu.:-0.5429
## Median :-1.3501 Median : 0.1147 Median : 0.1286 Median :-0.1055
## Mean :-0.8537 Mean : 0.1222 Mean : 0.1215 Mean :-0.1320
## 3rd Qu.: 0.1430 3rd Qu.: 0.6768 3rd Qu.: 0.6616 3rd Qu.: 0.2997
## Max. : 5.6714 Max. : 2.8301 Max. : 2.8140 Max. : 1.1936
## NP_940869 NP_005484 NP_056513 NP_061170
## Min. :-1.987365 Min. :-1.50817 Min. :-1.03743 Min. :-3.5852
## 1st Qu.:-0.475734 1st Qu.:-0.58139 1st Qu.:-0.41390 1st Qu.:-1.8435
## Median :-0.009813 Median :-0.05445 Median :-0.10664 Median :-1.0160
## Mean :-0.060849 Mean :-0.03572 Mean :-0.05233 Mean :-0.4868
## 3rd Qu.: 0.401202 3rd Qu.: 0.44870 3rd Qu.: 0.19937 3rd Qu.: 0.5289
## Max. : 1.471108 Max. : 1.40462 Max. : 1.29429 Max. : 5.6897
## NP_653304 NP_653081 NP_057164 NP_006627
## Min. :-4.2030 Min. :-1.85269 Min. :-1.8271 Min. :-3.9493
## 1st Qu.:-1.5728 1st Qu.:-0.56580 1st Qu.:-0.7193 1st Qu.:-1.7229
## Median :-0.6155 Median :-0.13410 Median : 0.1189 Median :-0.2343
## Mean :-0.5083 Mean : 0.03333 Mean : 0.2121 Mean :-0.2690
## 3rd Qu.: 0.6527 3rd Qu.: 0.48876 3rd Qu.: 1.0657 3rd Qu.: 0.9709
## Max. : 2.5448 Max. : 3.62428 Max. : 3.0124 Max. : 3.8227
## NP_004453 NP_071739 NP_060337 NP_001186744
## Min. :-4.1387 Min. :-2.5815 Min. :-1.5284 Min. :-3.16931
## 1st Qu.:-1.5544 1st Qu.:-0.8069 1st Qu.:-0.2767 1st Qu.:-0.96338
## Median :-0.3767 Median :-0.2152 Median : 0.1734 Median :-0.08595
## Mean :-0.4027 Mean :-0.1036 Mean : 0.1794 Mean : 0.01644
## 3rd Qu.: 0.4646 3rd Qu.: 0.5228 3rd Qu.: 0.4522 3rd Qu.: 1.14623
## Max. : 4.2437 Max. : 2.4025 Max. : 2.1870 Max. : 3.64336
## NP_001186745 NP_001257810 NP_003212 NP_060866
## Min. :-3.16931 Min. :-1.6358 Min. :-4.1699 Min. :-2.5900
## 1st Qu.:-0.96338 1st Qu.:-0.4878 1st Qu.:-1.2367 1st Qu.:-0.7931
## Median :-0.08595 Median : 0.1969 Median :-0.3767 Median :-0.3482
## Mean : 0.01868 Mean : 0.2720 Mean :-0.4319 Mean :-0.3493
## 3rd Qu.: 1.14623 3rd Qu.: 0.9424 3rd Qu.: 0.5229 3rd Qu.: 0.1180
## Max. : 3.64336 Max. : 2.6328 Max. : 2.2127 Max. : 2.9262
## NP_001160163 NP_004499 NP_006345 NP_003875
## Min. :-3.42211 Min. :-2.94423 Min. :-7.95438 Min. :-4.15353
## 1st Qu.:-1.18732 1st Qu.:-1.23316 1st Qu.:-0.57996 1st Qu.:-0.92176
## Median : 0.06316 Median : 0.18680 Median :-0.06555 Median : 0.04810
## Mean : 0.02742 Mean : 0.06117 Mean :-0.28075 Mean : 0.04303
## 3rd Qu.: 0.91674 3rd Qu.: 0.94215 3rd Qu.: 0.27098 3rd Qu.: 0.83525
## Max. : 2.89217 Max. : 3.58994 Max. : 2.41156 Max. :11.75512
## NP_002677 NP_579917 NP_001135891 NP_004522
## Min. :-11.361 Min. :-4.98779 Min. :-5.0503 Min. :-2.3840
## 1st Qu.: -8.368 1st Qu.:-0.77403 1st Qu.:-1.2707 1st Qu.:-1.0540
## Median : -7.081 Median :-0.09225 Median :-0.1240 Median :-0.4049
## Mean : -5.811 Mean :-0.26141 Mean :-0.2037 Mean :-0.2473
## 3rd Qu.: -4.466 3rd Qu.: 0.47457 3rd Qu.: 0.5859 3rd Qu.: 0.5722
## Max. : 10.216 Max. : 1.69689 Max. : 3.4142 Max. : 2.8654
## NP_003767 NP_848597 NP_005970 NP_060182
## Min. :-1.7319 Min. :-3.9861 Min. :-4.18213 Min. :-3.15941
## 1st Qu.:-0.5888 1st Qu.:-0.6245 1st Qu.:-1.41897 1st Qu.:-0.68303
## Median :-0.2699 Median : 0.2277 Median :-0.26626 Median : 0.20922
## Mean :-0.1531 Mean : 0.1859 Mean : 0.08309 Mean : 0.06945
## 3rd Qu.: 0.3421 3rd Qu.: 1.0514 3rd Qu.: 1.60271 3rd Qu.: 0.94164
## Max. : 2.1423 Max. : 2.6558 Max. : 5.16275 Max. : 3.09499
## NP_001035492 NP_899229 NP_660344
## Min. :-6.05108 Min. :-4.0088 Min. :-3.39489
## 1st Qu.:-0.26050 1st Qu.:-0.2804 1st Qu.:-0.80112
## Median : 0.02385 Median : 0.2702 Median :-0.07568
## Mean :-0.13957 Mean : 0.3329 Mean :-0.13958
## 3rd Qu.: 0.67605 3rd Qu.: 1.2786 3rd Qu.: 0.59090
## Max. : 2.08930 Max. : 2.4978 Max. : 4.21230test_data <- data[-samp, c(21, stab_var.ind)]
summary(test_data)## PAM50.mRNA NP_579899 NP_038479 NP_001258898
## Length:21 Min. :-2.8493 Min. :-2.8715 Min. :-0.96268
## Class :character 1st Qu.:-1.5815 1st Qu.:-1.5667 1st Qu.:-0.70092
## Mode :character Median :-0.3341 Median :-0.3341 Median :-0.22428
## Mean :-0.4597 Mean :-0.4596 Mean :-0.06085
## 3rd Qu.: 0.6788 3rd Qu.: 0.6788 3rd Qu.: 0.40165
## Max. : 2.1070 Max. : 2.0853 Max. : 1.06645
## NP_542785 NP_065821 NP_055644 NP_001371
## Min. :-8.644 Min. :-5.0038 Min. :-0.71531 Min. :-1.65358
## 1st Qu.:-3.268 1st Qu.:-1.5573 1st Qu.:-0.29045 1st Qu.:-0.89161
## Median :-1.406 Median :-0.7597 Median : 0.09215 Median : 0.25401
## Mean :-1.370 Mean :-0.9316 Mean : 0.06150 Mean : 0.03531
## 3rd Qu.: 1.205 3rd Qu.: 0.3479 3rd Qu.: 0.33253 3rd Qu.: 0.63945
## Max. : 2.629 Max. : 1.7905 Max. : 1.14505 Max. : 1.41296
## NP_002005 XP_003846537 NP_660208 NP_004439
## Min. :-2.7580 Min. :-2.04227 Min. :-1.1825 Min. :-4.919
## 1st Qu.:-1.1715 1st Qu.:-0.68125 1st Qu.:-0.4631 1st Qu.:-3.322
## Median :-0.4446 Median :-0.24366 Median : 0.0920 Median :-2.304
## Mean :-0.3274 Mean :-0.01299 Mean : 0.1011 Mean :-1.729
## 3rd Qu.: 0.6306 3rd Qu.: 0.40006 3rd Qu.: 0.7408 3rd Qu.:-1.532
## Max. : 2.2280 Max. : 2.47057 Max. : 1.2741 Max. : 9.438
## NP_005226 NP_004388 NP_001229372 NP_005130
## Min. :-5.3370 Min. :-1.4118 Min. :-6.963 Min. :-8.8308
## 1st Qu.:-2.6305 1st Qu.:-0.6526 1st Qu.:-4.030 1st Qu.:-4.2923
## Median :-1.7048 Median :-0.2659 Median :-2.164 Median :-2.3061
## Mean :-0.7479 Mean :-0.1973 Mean :-1.937 Mean :-2.3248
## 3rd Qu.: 0.8890 3rd Qu.: 0.3494 3rd Qu.:-1.389 3rd Qu.:-0.6167
## Max. : 9.7204 Max. : 0.8814 Max. : 8.965 Max. : 3.5956
## NP_004243 NP_003144 NP_001171551 NP_072096
## Min. :-4.3494 Min. :-1.1524 Min. :-1.14498 Min. :-1.45482
## 1st Qu.:-2.2135 1st Qu.:-0.1119 1st Qu.: 0.04338 1st Qu.:-0.58148
## Median :-1.0647 Median : 0.5646 Median : 0.56842 Median : 0.36236
## Mean :-0.6237 Mean : 0.3584 Mean : 0.37775 Mean : 0.05803
## 3rd Qu.: 0.7448 3rd Qu.: 0.9051 3rd Qu.: 0.81561 3rd Qu.: 0.63145
## Max. : 4.0709 Max. : 1.8449 Max. : 1.84490 Max. : 1.14117
## NP_940869 NP_005484 NP_056513 NP_061170
## Min. :-1.46208 Min. :-1.05906 Min. :-0.9638 Min. :-4.71298
## 1st Qu.:-0.42209 1st Qu.:-0.50315 1st Qu.:-0.5691 1st Qu.:-2.15915
## Median : 0.10605 Median :-0.28492 Median :-0.3914 Median :-1.56248
## Mean : 0.03797 Mean :-0.07778 Mean :-0.2796 Mean :-0.97732
## 3rd Qu.: 0.55355 3rd Qu.: 0.07116 3rd Qu.:-0.1556 3rd Qu.:-0.06729
## Max. : 1.37670 Max. : 1.56246 Max. : 1.3044 Max. : 3.72464
## NP_653304 NP_653081 NP_057164 NP_006627
## Min. :-2.996758 Min. :-1.5026 Min. :-1.92397 Min. :-2.5320
## 1st Qu.:-2.342573 1st Qu.:-0.4282 1st Qu.:-0.66416 1st Qu.:-1.7380
## Median :-1.273873 Median :-0.1973 Median :-0.28234 Median :-0.4650
## Mean :-1.137436 Mean :-0.1785 Mean : 0.01943 Mean :-0.4199
## 3rd Qu.:-0.008532 3rd Qu.: 0.1819 3rd Qu.: 0.63751 3rd Qu.: 0.4291
## Max. : 1.418603 Max. : 0.9661 Max. : 2.62671 Max. : 2.5638
## NP_004453 NP_071739 NP_060337 NP_001186744
## Min. :-3.22767 Min. :-1.5383 Min. :-0.667232 Min. :-2.39120
## 1st Qu.:-1.06796 1st Qu.:-0.7345 1st Qu.:-0.343704 1st Qu.:-0.70614
## Median :-0.39868 Median : 0.1818 Median :-0.119838 Median :-0.20813
## Mean : 0.04539 Mean : 0.2424 Mean :-0.003719 Mean :-0.01847
## 3rd Qu.: 0.80457 3rd Qu.: 0.9296 3rd Qu.: 0.310813 3rd Qu.: 0.92664
## Max. : 3.34544 Max. : 2.4609 Max. : 1.323088 Max. : 2.58298
## NP_001186745 NP_001257810 NP_003212 NP_060866
## Min. :-2.39120 Min. :-1.2927 Min. :-2.33411 Min. :-1.3534381
## 1st Qu.:-0.70614 1st Qu.:-0.2700 1st Qu.:-0.81516 1st Qu.:-0.5414421
## Median :-0.20813 Median : 0.3002 Median :-0.30052 Median :-0.2152410
## Mean :-0.02104 Mean : 0.4099 Mean : 0.08917 Mean :-0.0006818
## 3rd Qu.: 0.92664 3rd Qu.: 0.7899 3rd Qu.: 1.25065 3rd Qu.: 0.4958501
## Max. : 2.58298 Max. : 2.1422 Max. : 2.99862 Max. : 2.4603584
## NP_001160163 NP_004499 NP_006345 NP_003875
## Min. :-2.58103 Min. :-3.5464 Min. :-2.13172 Min. :-4.97016
## 1st Qu.:-0.46028 1st Qu.:-1.4284 1st Qu.:-0.75342 1st Qu.:-0.71044
## Median : 0.06316 Median :-0.5892 Median : 0.01263 Median : 0.04808
## Mean :-0.20741 Mean :-0.7853 Mean :-0.01893 Mean : 0.06236
## 3rd Qu.: 0.06316 3rd Qu.: 0.2064 3rd Qu.: 0.59008 3rd Qu.: 1.05041
## Max. : 1.97269 Max. : 0.8233 Max. : 2.76891 Max. : 5.43255
## NP_002677 NP_579917 NP_001135891 NP_004522
## Min. :-10.241 Min. :-1.3528 Min. :-1.74468 Min. :-4.99686
## 1st Qu.: -7.016 1st Qu.:-0.4171 1st Qu.:-0.96383 1st Qu.:-1.55870
## Median : -5.238 Median : 0.0139 Median :-0.41851 Median : 0.02322
## Mean : -5.259 Mean : 0.1787 Mean :-0.22313 Mean :-0.46001
## 3rd Qu.: -3.911 3rd Qu.: 0.8614 3rd Qu.:-0.04714 3rd Qu.: 0.62059
## Max. : 4.331 Max. : 3.1893 Max. : 3.17549 Max. : 2.51056
## NP_003767 NP_848597 NP_005970 NP_060182
## Min. :-1.87518 Min. :-1.2668 Min. :-3.7141 Min. :-3.4672
## 1st Qu.:-0.40798 1st Qu.:-0.5502 1st Qu.:-0.3587 1st Qu.:-0.5187
## Median : 0.06482 Median : 0.3744 Median : 0.3068 Median : 0.4353
## Mean : 0.21708 Mean : 0.6564 Mean : 0.3944 Mean : 0.6286
## 3rd Qu.: 0.81882 3rd Qu.: 1.3331 3rd Qu.: 1.5019 3rd Qu.: 2.0368
## Max. : 2.67788 Max. : 3.2187 Max. : 5.1614 Max. : 3.8773
## NP_001035492 NP_899229 NP_660344
## Min. :-4.5440 Min. :-2.04346 Min. :-4.12014
## 1st Qu.:-1.0794 1st Qu.:-0.54677 1st Qu.:-0.70617
## Median :-0.2301 Median : 0.27018 Median :-0.07568
## Mean :-0.4928 Mean : 0.09408 Mean :-0.18383
## 3rd Qu.: 0.3235 3rd Qu.: 0.37805 3rd Qu.: 0.98085
## Max. : 2.2644 Max. : 2.72864 Max. : 3.26007###test and train data barplot
train_data.plot <- train_data
train_data.plot$data <- "train_data"
test_data.plot <- test_data
test_data.plot$data <- "test_data"
train_data.plot <- t(train_data.plot)
test_data.plot <- t(test_data.plot)
data.plot <- cbind.data.frame(train_data.plot,test_data.plot)
data.plot <- t(data.plot)
data.plot <- as.data.frame(data.plot)
ggplot(data.plot, aes(x=PAM50.mRNA, fill=data)) + geom_bar() + ggtitle("train_data (0.7) and test_data (0.3) for Lasso proteins")
Models building for Lasso data
The three models were created for the Lasso data: * Support-Vector Machine * Random Forest * Neural Network Classifier
Support-Vector Machine
###Support-Vector Machine
set.seed(1)
train_control <- trainControl(method="repeatedcv",
number=3,
repeats=10,
savePredictions = TRUE,
summaryFunction = multiClassSummary) #settng up train control for cross validation and calibration of hyperparameter
grid <- expand.grid(C = seq(0.000001,0.15,0.002)) #Tunegrid for different values of C
set.seed(1)
svm.lin.mod <- train(PAM50.mRNA ~ .,
data=train_data,
trControl=train_control,
method="svmLinear",
preProcess = c("center","scale"),
tuneGrid =grid,
tuneLength = 10) #training
svm.predicts <- predict(svm.lin.mod,
newdata = test_data) #Creating predictions on test set
confusionMatrix(svm.predicts, as.factor(test_data$PAM50.mRNA)) #confusion matrix## Confusion Matrix and Statistics
##
## Reference
## Prediction Basal-like HER2-enriched Luminal A Luminal B
## Basal-like 5 1 0 0
## HER2-enriched 0 2 0 0
## Luminal A 0 0 6 1
## Luminal B 0 0 0 6
##
## Overall Statistics
##
## Accuracy : 0.9048
## 95% CI : (0.6962, 0.9883)
## No Information Rate : 0.3333
## P-Value [Acc > NIR] : 8.441e-08
##
## Kappa : 0.8692
##
## Mcnemar's Test P-Value : NA
##
## Statistics by Class:
##
## Class: Basal-like Class: HER2-enriched Class: Luminal A
## Sensitivity 1.0000 0.66667 1.0000
## Specificity 0.9375 1.00000 0.9333
## Pos Pred Value 0.8333 1.00000 0.8571
## Neg Pred Value 1.0000 0.94737 1.0000
## Prevalence 0.2381 0.14286 0.2857
## Detection Rate 0.2381 0.09524 0.2857
## Detection Prevalence 0.2857 0.09524 0.3333
## Balanced Accuracy 0.9688 0.83333 0.9667
## Class: Luminal B
## Sensitivity 0.8571
## Specificity 1.0000
## Pos Pred Value 1.0000
## Neg Pred Value 0.9333
## Prevalence 0.3333
## Detection Rate 0.2857
## Detection Prevalence 0.2857
## Balanced Accuracy 0.9286Random Forest
set.seed(1)
random.forest.mod <- randomForest(as.factor(PAM50.mRNA) ~ .,
data=train_data,
ntree = 500,
mtry = 8,
importance = TRUE) #training
plot(random.forest.mod)
random.forest.predicts <- predict(random.forest.mod, newdata=test_data, type = "class") #prediction
confusionMatrix(random.forest.predicts, as.factor(test_data$PAM50.mRNA)) #confusion matrix## Confusion Matrix and Statistics
##
## Reference
## Prediction Basal-like HER2-enriched Luminal A Luminal B
## Basal-like 4 1 0 0
## HER2-enriched 0 2 0 0
## Luminal A 1 0 6 1
## Luminal B 0 0 0 6
##
## Overall Statistics
##
## Accuracy : 0.8571
## 95% CI : (0.6366, 0.9695)
## No Information Rate : 0.3333
## P-Value [Acc > NIR] : 1.102e-06
##
## Kappa : 0.8031
##
## Mcnemar's Test P-Value : NA
##
## Statistics by Class:
##
## Class: Basal-like Class: HER2-enriched Class: Luminal A
## Sensitivity 0.8000 0.66667 1.0000
## Specificity 0.9375 1.00000 0.8667
## Pos Pred Value 0.8000 1.00000 0.7500
## Neg Pred Value 0.9375 0.94737 1.0000
## Prevalence 0.2381 0.14286 0.2857
## Detection Rate 0.1905 0.09524 0.2857
## Detection Prevalence 0.2381 0.09524 0.3810
## Balanced Accuracy 0.8688 0.83333 0.9333
## Class: Luminal B
## Sensitivity 0.8571
## Specificity 1.0000
## Pos Pred Value 1.0000
## Neg Pred Value 0.9333
## Prevalence 0.3333
## Detection Rate 0.2857
## Detection Prevalence 0.2857
## Balanced Accuracy 0.9286Neural Network Classifier
neural.network.mod <-neuralnet(as.factor(PAM50.mRNA) ~ .,
data=train_data,
hidden = c(30, 15, 8),
linear.output = FALSE,
act.fct = "logistic",
algorithm = 'sag')
plot(neural.network.mod,
intercept = F,
rep = 'best',
col.hidden = 'darkblue',
col.hidden.synapse = 'black',
show.weights = F,
fill = 'lightblue',
col.intercept = 'red',
fontsize = 8,
dimension = 15)
neural.network.mod$result.matrix #errors for model## [,1]
## error 0.021195932
## reached.threshold 0.009638026
## steps 28.000000000
## Intercept.to.1layhid1 0.785549086
## NP_579899.to.1layhid1 -0.262016110
## NP_038479.to.1layhid1 -1.225498153
## NP_001258898.to.1layhid1 1.919385529
## NP_542785.to.1layhid1 -0.001976054
## NP_065821.to.1layhid1 0.814236843
## NP_055644.to.1layhid1 -0.085401380
## NP_001371.to.1layhid1 -0.444148855
## NP_002005.to.1layhid1 0.494588215
## XP_003846537.to.1layhid1 -0.720745768
## NP_660208.to.1layhid1 0.181616660
## NP_004439.to.1layhid1 -3.002664943
## NP_005226.to.1layhid1 -0.593684137
## NP_004388.to.1layhid1 1.249560671
## NP_001229372.to.1layhid1 0.297049597
## NP_005130.to.1layhid1 -1.310970062
## NP_004243.to.1layhid1 -1.082917284
## NP_003144.to.1layhid1 -0.063720981
## NP_001171551.to.1layhid1 -0.352858707
## NP_072096.to.1layhid1 0.651974432
## NP_940869.to.1layhid1 0.073908843
## NP_005484.to.1layhid1 1.878393721
## NP_056513.to.1layhid1 0.953121334
## NP_061170.to.1layhid1 0.045991665
## NP_653304.to.1layhid1 1.357147715
## NP_653081.to.1layhid1 3.077741810
## NP_057164.to.1layhid1 -1.525861891
## NP_006627.to.1layhid1 0.459609912
## NP_004453.to.1layhid1 0.570314802
## NP_071739.to.1layhid1 1.739661195
## NP_060337.to.1layhid1 0.526376418
## NP_001186744.to.1layhid1 0.550308074
## NP_001186745.to.1layhid1 2.186505047
## NP_001257810.to.1layhid1 -1.299257031
## NP_003212.to.1layhid1 -2.371503709
## NP_060866.to.1layhid1 -0.161453527
## NP_001160163.to.1layhid1 0.491848755
## NP_004499.to.1layhid1 2.295899501
## NP_006345.to.1layhid1 2.462965208
## NP_003875.to.1layhid1 -0.798802500
## NP_002677.to.1layhid1 -1.669845876
## NP_579917.to.1layhid1 -0.631330868
## NP_001135891.to.1layhid1 0.572934776
## NP_004522.to.1layhid1 0.892971088
## NP_003767.to.1layhid1 2.406895945
## NP_848597.to.1layhid1 0.482211035
## NP_005970.to.1layhid1 0.132082885
## NP_060182.to.1layhid1 -1.166360695
## NP_001035492.to.1layhid1 0.349673129
## NP_899229.to.1layhid1 0.317924649
## NP_660344.to.1layhid1 -0.341541938
## Intercept.to.1layhid2 0.153659284
## NP_579899.to.1layhid2 -1.115550579
## NP_038479.to.1layhid2 0.349364804
## NP_001258898.to.1layhid2 -0.052976450
## NP_542785.to.1layhid2 0.056010592
## NP_065821.to.1layhid2 1.452301335
## NP_055644.to.1layhid2 -0.210892174
## NP_001371.to.1layhid2 0.664658551
## NP_002005.to.1layhid2 -0.190933711
## XP_003846537.to.1layhid2 -1.017669586
## NP_660208.to.1layhid2 -1.379904641
## NP_004439.to.1layhid2 0.232814426
## NP_005226.to.1layhid2 3.000005549
## NP_004388.to.1layhid2 1.169568357
## NP_001229372.to.1layhid2 1.685611153
## NP_005130.to.1layhid2 1.027092175
## NP_004243.to.1layhid2 1.190725944
## NP_003144.to.1layhid2 0.078017961
## NP_001171551.to.1layhid2 0.191204760
## NP_072096.to.1layhid2 0.520591080
## NP_940869.to.1layhid2 1.480275582
## NP_005484.to.1layhid2 1.960523521
## NP_056513.to.1layhid2 0.552770921
## NP_061170.to.1layhid2 -0.702950827
## NP_653304.to.1layhid2 -1.243611585
## NP_653081.to.1layhid2 -1.138990591
## NP_057164.to.1layhid2 0.736797004
## NP_006627.to.1layhid2 0.655825172
## NP_004453.to.1layhid2 0.218792369
## NP_071739.to.1layhid2 -1.526026033
## NP_060337.to.1layhid2 -1.068150679
## NP_001186744.to.1layhid2 0.198913657
## NP_001186745.to.1layhid2 -1.434851099
## NP_001257810.to.1layhid2 -0.657795339
## NP_003212.to.1layhid2 -0.706347641
## NP_060866.to.1layhid2 -0.332845024
## NP_001160163.to.1layhid2 0.150365282
## NP_004499.to.1layhid2 -1.860642089
## NP_006345.to.1layhid2 1.097909116
## NP_003875.to.1layhid2 -0.714654576
## NP_002677.to.1layhid2 0.196793129
## NP_579917.to.1layhid2 -0.218729027
## NP_001135891.to.1layhid2 -1.982626388
## NP_004522.to.1layhid2 1.515779176
## NP_003767.to.1layhid2 -0.761072639
## NP_848597.to.1layhid2 0.987991075
## NP_005970.to.1layhid2 1.844163589
## NP_060182.to.1layhid2 1.027236602
## NP_001035492.to.1layhid2 0.143315800
## NP_899229.to.1layhid2 -1.353909235
## NP_660344.to.1layhid2 1.942546902
## Intercept.to.1layhid3 2.010387776
## NP_579899.to.1layhid3 0.220609340
## NP_038479.to.1layhid3 1.459623930
## NP_001258898.to.1layhid3 -1.258171669
## NP_542785.to.1layhid3 -0.241613528
## NP_065821.to.1layhid3 2.227261873
## NP_055644.to.1layhid3 0.777774937
## NP_001371.to.1layhid3 0.531872178
## NP_002005.to.1layhid3 -0.491435931
## XP_003846537.to.1layhid3 0.496558195
## NP_660208.to.1layhid3 -1.049419687
## NP_004439.to.1layhid3 -0.120515164
## NP_005226.to.1layhid3 0.741990117
## NP_004388.to.1layhid3 -0.749947622
## NP_001229372.to.1layhid3 0.769647954
## NP_005130.to.1layhid3 0.842882408
## NP_004243.to.1layhid3 -0.518941086
## NP_003144.to.1layhid3 0.253185799
## NP_001171551.to.1layhid3 1.241267680
## NP_072096.to.1layhid3 2.416360441
## NP_940869.to.1layhid3 2.238629110
## NP_005484.to.1layhid3 1.181589250
## NP_056513.to.1layhid3 -1.324020494
## NP_061170.to.1layhid3 0.470210255
## NP_653304.to.1layhid3 -0.425291700
## NP_653081.to.1layhid3 1.391175302
## NP_057164.to.1layhid3 0.230867624
## NP_006627.to.1layhid3 2.523091056
## NP_004453.to.1layhid3 0.293908063
## NP_071739.to.1layhid3 -0.814738390
## NP_060337.to.1layhid3 -0.434233737
## NP_001186744.to.1layhid3 -0.971688598
## NP_001186745.to.1layhid3 -0.387916032
## NP_001257810.to.1layhid3 1.485872857
## NP_003212.to.1layhid3 0.312407973
## NP_060866.to.1layhid3 -2.389670223
## NP_001160163.to.1layhid3 -1.545273761
## NP_004499.to.1layhid3 0.012979751
## NP_006345.to.1layhid3 -0.755606287
## NP_003875.to.1layhid3 0.260279346
## NP_002677.to.1layhid3 -0.328927103
## NP_579917.to.1layhid3 -0.336599699
## NP_001135891.to.1layhid3 1.331651020
## NP_004522.to.1layhid3 -0.867530131
## NP_003767.to.1layhid3 -0.859139174
## NP_848597.to.1layhid3 0.539231746
## NP_005970.to.1layhid3 -0.302648750
## NP_060182.to.1layhid3 0.048547855
## NP_001035492.to.1layhid3 0.422142918
## NP_899229.to.1layhid3 0.985977458
## NP_660344.to.1layhid3 0.173539700
## Intercept.to.1layhid4 2.105763051
## NP_579899.to.1layhid4 0.888595374
## NP_038479.to.1layhid4 0.187842708
## NP_001258898.to.1layhid4 -1.156950445
## NP_542785.to.1layhid4 1.793476891
## NP_065821.to.1layhid4 0.213197347
## NP_055644.to.1layhid4 1.819541211
## NP_001371.to.1layhid4 3.428527481
## NP_002005.to.1layhid4 -0.150050339
## XP_003846537.to.1layhid4 0.577702113
## NP_660208.to.1layhid4 -1.034157822
## NP_004439.to.1layhid4 0.325376633
## NP_005226.to.1layhid4 0.187672012
## NP_004388.to.1layhid4 -0.488623655
## NP_001229372.to.1layhid4 0.861144681
## NP_005130.to.1layhid4 -0.825941559
## NP_004243.to.1layhid4 0.754556398
## NP_003144.to.1layhid4 0.317830928
## NP_001171551.to.1layhid4 -1.110820029
## NP_072096.to.1layhid4 0.192079082
## NP_940869.to.1layhid4 -2.597219104
## NP_005484.to.1layhid4 -1.107636461
## NP_056513.to.1layhid4 1.467835025
## NP_061170.to.1layhid4 -0.585686476
## NP_653304.to.1layhid4 0.216149587
## NP_653081.to.1layhid4 0.694102984
## NP_057164.to.1layhid4 -1.672286149
## NP_006627.to.1layhid4 -1.346039664
## NP_004453.to.1layhid4 -0.836338886
## NP_071739.to.1layhid4 0.581690992
## NP_060337.to.1layhid4 0.640629065
## NP_001186744.to.1layhid4 2.159846161
## NP_001186745.to.1layhid4 -1.274042802
## NP_001257810.to.1layhid4 0.537127472
## NP_003212.to.1layhid4 0.201428065
## NP_060866.to.1layhid4 -0.533256349
## NP_001160163.to.1layhid4 -1.696287452
## NP_004499.to.1layhid4 0.100376974
## NP_006345.to.1layhid4 1.420584843
## NP_003875.to.1layhid4 0.238651391
## NP_002677.to.1layhid4 0.640585516
## NP_579917.to.1layhid4 -0.965578829
## NP_001135891.to.1layhid4 -0.208501733
## NP_004522.to.1layhid4 -1.372900354
## NP_003767.to.1layhid4 0.588739145
## NP_848597.to.1layhid4 -0.665966563
## NP_005970.to.1layhid4 0.819133366
## NP_060182.to.1layhid4 0.473178684
## NP_001035492.to.1layhid4 -0.214700332
## NP_899229.to.1layhid4 0.455600547
## NP_660344.to.1layhid4 -0.700919565
## Intercept.to.1layhid5 0.221588354
## NP_579899.to.1layhid5 1.490748329
## NP_038479.to.1layhid5 2.087952557
## NP_001258898.to.1layhid5 0.033472855
## NP_542785.to.1layhid5 -1.396237853
## NP_065821.to.1layhid5 0.788251524
## NP_055644.to.1layhid5 0.641770027
## NP_001371.to.1layhid5 -0.067084215
## NP_002005.to.1layhid5 0.281368265
## XP_003846537.to.1layhid5 -0.870438186
## NP_660208.to.1layhid5 -0.169932939
## NP_004439.to.1layhid5 0.684411005
## NP_005226.to.1layhid5 1.006243765
## NP_004388.to.1layhid5 -1.597080737
## NP_001229372.to.1layhid5 0.437167630
## NP_005130.to.1layhid5 -2.222086068
## NP_004243.to.1layhid5 1.919762002
## NP_003144.to.1layhid5 -0.393831195
## NP_001171551.to.1layhid5 0.313414992
## NP_072096.to.1layhid5 -2.610913274
## NP_940869.to.1layhid5 1.011959329
## NP_005484.to.1layhid5 -1.908923937
## NP_056513.to.1layhid5 -0.610032337
## NP_061170.to.1layhid5 0.232277198
## NP_653304.to.1layhid5 -1.967113734
## NP_653081.to.1layhid5 -0.831606989
## NP_057164.to.1layhid5 -0.626790047
## NP_006627.to.1layhid5 -0.068025777
## NP_004453.to.1layhid5 -1.448368405
## NP_071739.to.1layhid5 -0.648634899
## NP_060337.to.1layhid5 1.945307832
## NP_001186744.to.1layhid5 0.200367689
## NP_001186745.to.1layhid5 0.103825839
## NP_001257810.to.1layhid5 -1.026237499
## NP_003212.to.1layhid5 1.176626956
## NP_060866.to.1layhid5 0.447625184
## NP_001160163.to.1layhid5 -1.126065753
## NP_004499.to.1layhid5 -0.497150285
## NP_006345.to.1layhid5 -0.094664946
## NP_003875.to.1layhid5 0.269432209
## NP_002677.to.1layhid5 0.214620469
## NP_579917.to.1layhid5 -0.184251160
## NP_001135891.to.1layhid5 0.552614128
## NP_004522.to.1layhid5 -0.819810345
## NP_003767.to.1layhid5 0.083709134
## NP_848597.to.1layhid5 -1.179020907
## NP_005970.to.1layhid5 1.280424339
## NP_060182.to.1layhid5 0.111220322
## NP_001035492.to.1layhid5 0.530210390
## NP_899229.to.1layhid5 -0.502996752
## NP_660344.to.1layhid5 3.096018559
## Intercept.to.1layhid6 -0.472307306
## NP_579899.to.1layhid6 -1.138156957
## NP_038479.to.1layhid6 -0.014292442
## NP_001258898.to.1layhid6 -0.829683371
## NP_542785.to.1layhid6 -0.869143541
## NP_065821.to.1layhid6 -1.275165612
## NP_055644.to.1layhid6 0.460092869
## NP_001371.to.1layhid6 -1.640873646
## NP_002005.to.1layhid6 -0.741935492
## XP_003846537.to.1layhid6 0.693233859
## NP_660208.to.1layhid6 2.718769443
## NP_004439.to.1layhid6 -0.728451794
## NP_005226.to.1layhid6 0.531629449
## NP_004388.to.1layhid6 0.470977371
## NP_001229372.to.1layhid6 -0.151536567
## NP_005130.to.1layhid6 -0.073636147
## NP_004243.to.1layhid6 0.730935745
## NP_003144.to.1layhid6 0.392122469
## NP_001171551.to.1layhid6 0.630768238
## NP_072096.to.1layhid6 2.098831934
## NP_940869.to.1layhid6 0.986247798
## NP_005484.to.1layhid6 -0.406973374
## NP_056513.to.1layhid6 1.105194880
## NP_061170.to.1layhid6 -0.198696445
## NP_653304.to.1layhid6 -2.093517388
## NP_653081.to.1layhid6 -1.311033055
## NP_057164.to.1layhid6 -0.602191920
## NP_006627.to.1layhid6 -3.699763169
## NP_004453.to.1layhid6 -1.751814701
## NP_071739.to.1layhid6 0.469625476
## NP_060337.to.1layhid6 1.664865979
## NP_001186744.to.1layhid6 -0.246470091
## NP_001186745.to.1layhid6 0.140087034
## NP_001257810.to.1layhid6 0.889248850
## NP_003212.to.1layhid6 -1.065748446
## NP_060866.to.1layhid6 -0.132518279
## NP_001160163.to.1layhid6 1.730843128
## NP_004499.to.1layhid6 0.377013730
## NP_006345.to.1layhid6 0.405434726
## NP_003875.to.1layhid6 0.489386932
## NP_002677.to.1layhid6 -0.763065994
## NP_579917.to.1layhid6 0.928361962
## NP_001135891.to.1layhid6 0.506678368
## NP_004522.to.1layhid6 -0.299351049
## NP_003767.to.1layhid6 -1.284318461
## NP_848597.to.1layhid6 -2.207869249
## NP_005970.to.1layhid6 -0.227243625
## NP_060182.to.1layhid6 1.210399515
## NP_001035492.to.1layhid6 1.265561076
## NP_899229.to.1layhid6 -0.145679498
## NP_660344.to.1layhid6 0.786628200
## Intercept.to.1layhid7 1.645637303
## NP_579899.to.1layhid7 0.007869461
## NP_038479.to.1layhid7 0.894989603
## NP_001258898.to.1layhid7 -0.883762985
## NP_542785.to.1layhid7 -0.846659367
## NP_065821.to.1layhid7 -0.021673964
## NP_055644.to.1layhid7 1.109024346
## NP_001371.to.1layhid7 -1.287247295
## NP_002005.to.1layhid7 0.982770387
## XP_003846537.to.1layhid7 -1.339339120
## NP_660208.to.1layhid7 -0.449120336
## NP_004439.to.1layhid7 0.569036853
## NP_005226.to.1layhid7 -0.440847220
## NP_004388.to.1layhid7 0.211478134
## NP_001229372.to.1layhid7 1.299469050
## NP_005130.to.1layhid7 0.140985583
## NP_004243.to.1layhid7 0.699957325
## NP_003144.to.1layhid7 1.152735649
## NP_001171551.to.1layhid7 -2.582666407
## NP_072096.to.1layhid7 -0.158896108
## NP_940869.to.1layhid7 -0.280955383
## NP_005484.to.1layhid7 -1.674685458
## NP_056513.to.1layhid7 -0.201617487
## NP_061170.to.1layhid7 2.463164283
## NP_653304.to.1layhid7 -0.031647314
## NP_653081.to.1layhid7 -0.536613113
## NP_057164.to.1layhid7 0.968235842
## NP_006627.to.1layhid7 2.795446812
## NP_004453.to.1layhid7 0.112870562
## NP_071739.to.1layhid7 0.203169041
## NP_060337.to.1layhid7 0.627238944
## NP_001186744.to.1layhid7 0.002571206
## NP_001186745.to.1layhid7 -0.696141669
## NP_001257810.to.1layhid7 0.863183287
## NP_003212.to.1layhid7 -0.494700744
## NP_060866.to.1layhid7 0.402202452
## NP_001160163.to.1layhid7 -0.492918937
## NP_004499.to.1layhid7 -0.610251480
## NP_006345.to.1layhid7 0.069733904
## NP_003875.to.1layhid7 0.753393939
## NP_002677.to.1layhid7 -0.387421977
## NP_579917.to.1layhid7 -1.300223721
## NP_001135891.to.1layhid7 2.059020307
## NP_004522.to.1layhid7 0.706446205
## NP_003767.to.1layhid7 0.833611326
## NP_848597.to.1layhid7 -1.374478259
## NP_005970.to.1layhid7 0.083503177
## NP_060182.to.1layhid7 0.448333835
## NP_001035492.to.1layhid7 -1.740023938
## NP_899229.to.1layhid7 -1.503380204
## NP_660344.to.1layhid7 -0.097484644
## Intercept.to.1layhid8 -0.430977408
## NP_579899.to.1layhid8 -1.191790821
## NP_038479.to.1layhid8 -2.996542102
## NP_001258898.to.1layhid8 -1.795300315
## NP_542785.to.1layhid8 -0.621785273
## NP_065821.to.1layhid8 1.188506578
## NP_055644.to.1layhid8 1.778791995
## NP_001371.to.1layhid8 1.516034059
## NP_002005.to.1layhid8 -1.051059199
## XP_003846537.to.1layhid8 -1.813024045
## NP_660208.to.1layhid8 1.712864483
## NP_004439.to.1layhid8 -0.683226814
## NP_005226.to.1layhid8 1.978186965
## NP_004388.to.1layhid8 1.259586857
## NP_001229372.to.1layhid8 0.887739581
## NP_005130.to.1layhid8 0.215870246
## NP_004243.to.1layhid8 0.587260481
## NP_003144.to.1layhid8 -1.502765625
## NP_001171551.to.1layhid8 -2.113355873
## NP_072096.to.1layhid8 1.600487134
## NP_940869.to.1layhid8 1.008916891
## NP_005484.to.1layhid8 1.057599333
## NP_056513.to.1layhid8 -0.120150838
## NP_061170.to.1layhid8 0.788408447
## NP_653304.to.1layhid8 -0.074597882
## NP_653081.to.1layhid8 0.599038237
## NP_057164.to.1layhid8 -0.794287800
## NP_006627.to.1layhid8 -0.203023439
## NP_004453.to.1layhid8 0.395047039
## NP_071739.to.1layhid8 0.917811313
## NP_060337.to.1layhid8 -1.206822306
## NP_001186744.to.1layhid8 -1.082878790
## NP_001186745.to.1layhid8 -0.590623127
## NP_001257810.to.1layhid8 -0.814561859
## NP_003212.to.1layhid8 -0.012298071
## NP_060866.to.1layhid8 1.716958715
## NP_001160163.to.1layhid8 3.142406474
## NP_004499.to.1layhid8 2.059252223
## NP_006345.to.1layhid8 1.692464402
## NP_003875.to.1layhid8 -1.109996868
## NP_002677.to.1layhid8 -1.885930810
## NP_579917.to.1layhid8 -0.667631979
## NP_001135891.to.1layhid8 1.558142363
## NP_004522.to.1layhid8 1.582605033
## NP_003767.to.1layhid8 -0.506277748
## NP_848597.to.1layhid8 -1.297606969
## NP_005970.to.1layhid8 -1.498930799
## NP_060182.to.1layhid8 0.196660410
## NP_001035492.to.1layhid8 1.683982905
## NP_899229.to.1layhid8 0.063136744
## NP_660344.to.1layhid8 -2.105325318
## Intercept.to.1layhid9 0.220407411
## NP_579899.to.1layhid9 0.097094678
## NP_038479.to.1layhid9 -0.271185497
## NP_001258898.to.1layhid9 -1.246745851
## NP_542785.to.1layhid9 -0.805621076
## NP_065821.to.1layhid9 -1.280506530
## NP_055644.to.1layhid9 1.625626423
## NP_001371.to.1layhid9 0.246382836
## NP_002005.to.1layhid9 -0.467134288
## XP_003846537.to.1layhid9 2.279925570
## NP_660208.to.1layhid9 0.853709676
## NP_004439.to.1layhid9 -0.338553163
## NP_005226.to.1layhid9 3.063121231
## NP_004388.to.1layhid9 -0.791699820
## NP_001229372.to.1layhid9 -1.378075498
## NP_005130.to.1layhid9 -1.594672842
## NP_004243.to.1layhid9 0.335157499
## NP_003144.to.1layhid9 0.156661226
## NP_001171551.to.1layhid9 -0.242762142
## NP_072096.to.1layhid9 0.423406313
## NP_940869.to.1layhid9 0.367948989
## NP_005484.to.1layhid9 1.024066873
## NP_056513.to.1layhid9 0.571192722
## NP_061170.to.1layhid9 0.042210736
## NP_653304.to.1layhid9 -2.536304262
## NP_653081.to.1layhid9 -1.189819378
## NP_057164.to.1layhid9 1.792936680
## NP_006627.to.1layhid9 0.676789519
## NP_004453.to.1layhid9 -0.604734402
## NP_071739.to.1layhid9 0.072645896
## NP_060337.to.1layhid9 -0.587656088
## NP_001186744.to.1layhid9 0.298094389
## NP_001186745.to.1layhid9 2.559499832
## NP_001257810.to.1layhid9 0.502892017
## NP_003212.to.1layhid9 -0.312501680
## NP_060866.to.1layhid9 0.864005988
## NP_001160163.to.1layhid9 -0.003900838
## NP_004499.to.1layhid9 0.029424753
## NP_006345.to.1layhid9 -0.727074271
## NP_003875.to.1layhid9 -1.051550460
## NP_002677.to.1layhid9 -0.759748041
## NP_579917.to.1layhid9 0.467299381
## NP_001135891.to.1layhid9 0.390124953
## NP_004522.to.1layhid9 -0.014196600
## NP_003767.to.1layhid9 -0.615884662
## NP_848597.to.1layhid9 -0.012712903
## NP_005970.to.1layhid9 1.750527867
## NP_060182.to.1layhid9 1.184790385
## NP_001035492.to.1layhid9 -0.765675343
## NP_899229.to.1layhid9 0.418689342
## NP_660344.to.1layhid9 -1.001356908
## Intercept.to.1layhid10 0.220940923
## NP_579899.to.1layhid10 1.857742377
## NP_038479.to.1layhid10 0.916307668
## NP_001258898.to.1layhid10 -2.041723538
## NP_542785.to.1layhid10 1.962425779
## NP_065821.to.1layhid10 -0.434193031
## NP_055644.to.1layhid10 0.082442154
## NP_001371.to.1layhid10 0.464026368
## NP_002005.to.1layhid10 -0.558694942
## XP_003846537.to.1layhid10 -1.280787572
## NP_660208.to.1layhid10 -1.148388076
## NP_004439.to.1layhid10 0.365222260
## NP_005226.to.1layhid10 0.000774153
## NP_004388.to.1layhid10 -1.853150837
## NP_001229372.to.1layhid10 -0.537508942
## NP_005130.to.1layhid10 0.362429513
## NP_004243.to.1layhid10 -0.648715576
## NP_003144.to.1layhid10 1.763818829
## NP_001171551.to.1layhid10 0.132458201
## NP_072096.to.1layhid10 0.087676030
## NP_940869.to.1layhid10 -0.848539644
## NP_005484.to.1layhid10 -0.188378391
## NP_056513.to.1layhid10 -1.433027119
## NP_061170.to.1layhid10 0.093026122
## NP_653304.to.1layhid10 1.904299678
## NP_653081.to.1layhid10 -1.896135886
## NP_057164.to.1layhid10 1.056062137
## NP_006627.to.1layhid10 -0.654325686
## NP_004453.to.1layhid10 -0.838383084
## NP_071739.to.1layhid10 -1.173254755
## NP_060337.to.1layhid10 -1.354488032
## NP_001186744.to.1layhid10 -1.934044386
## NP_001186745.to.1layhid10 -0.527964140
## NP_001257810.to.1layhid10 -0.463637372
## NP_003212.to.1layhid10 1.000130064
## NP_060866.to.1layhid10 -1.607915497
## NP_001160163.to.1layhid10 0.939287804
## NP_004499.to.1layhid10 0.615983609
## NP_006345.to.1layhid10 -0.718462044
## NP_003875.to.1layhid10 -0.159574713
## NP_002677.to.1layhid10 -0.529384807
## NP_579917.to.1layhid10 -0.234379062
## NP_001135891.to.1layhid10 -0.985666453
## NP_004522.to.1layhid10 -0.911212060
## NP_003767.to.1layhid10 0.879255926
## NP_848597.to.1layhid10 -0.417453996
## NP_005970.to.1layhid10 0.309582232
## NP_060182.to.1layhid10 -0.517444722
## NP_001035492.to.1layhid10 -0.072913256
## NP_899229.to.1layhid10 -0.370837217
## NP_660344.to.1layhid10 0.825694880
## Intercept.to.1layhid11 0.073578934
## NP_579899.to.1layhid11 2.268292435
## NP_038479.to.1layhid11 -1.387758092
## NP_001258898.to.1layhid11 0.342460951
## NP_542785.to.1layhid11 -0.266459348
## NP_065821.to.1layhid11 -0.347897835
## NP_055644.to.1layhid11 -0.844515715
## NP_001371.to.1layhid11 -2.205184453
## NP_002005.to.1layhid11 -2.055000652
## XP_003846537.to.1layhid11 -0.961348757
## NP_660208.to.1layhid11 0.120443496
## NP_004439.to.1layhid11 -1.843682132
## NP_005226.to.1layhid11 -0.922951652
## NP_004388.to.1layhid11 1.223779823
## NP_001229372.to.1layhid11 1.505024636
## NP_005130.to.1layhid11 1.868501234
## NP_004243.to.1layhid11 0.354239391
## NP_003144.to.1layhid11 0.904762058
## NP_001171551.to.1layhid11 -0.810885489
## NP_072096.to.1layhid11 0.196931698
## NP_940869.to.1layhid11 -0.763672904
## NP_005484.to.1layhid11 -0.185101226
## NP_056513.to.1layhid11 -1.234713956
## NP_061170.to.1layhid11 1.415066569
## NP_653304.to.1layhid11 -0.299649159
## NP_653081.to.1layhid11 -0.068580817
## NP_057164.to.1layhid11 -0.511326994
## NP_006627.to.1layhid11 1.194669052
## NP_004453.to.1layhid11 -0.987525862
## NP_071739.to.1layhid11 0.051437804
## NP_060337.to.1layhid11 -1.749575526
## NP_001186744.to.1layhid11 -0.334557742
## NP_001186745.to.1layhid11 0.545199896
## NP_001257810.to.1layhid11 -1.260278547
## NP_003212.to.1layhid11 0.338795627
## NP_060866.to.1layhid11 -1.061722810
## NP_001160163.to.1layhid11 -1.383219015
## NP_004499.to.1layhid11 2.574178227
## NP_006345.to.1layhid11 -0.032929835
## NP_003875.to.1layhid11 -0.338926263
## NP_002677.to.1layhid11 3.117943734
## NP_579917.to.1layhid11 -0.154079145
## NP_001135891.to.1layhid11 -0.286194458
## NP_004522.to.1layhid11 -1.209547210
## NP_003767.to.1layhid11 -1.756710111
## NP_848597.to.1layhid11 0.154421750
## NP_005970.to.1layhid11 0.632374378
## NP_060182.to.1layhid11 -0.631777053
## NP_001035492.to.1layhid11 1.008182091
## NP_899229.to.1layhid11 -0.311236788
## NP_660344.to.1layhid11 0.750227936
## Intercept.to.1layhid12 -0.935092644
## NP_579899.to.1layhid12 -0.504065583
## NP_038479.to.1layhid12 -0.546571242
## NP_001258898.to.1layhid12 0.392943242
## NP_542785.to.1layhid12 2.697782692
## NP_065821.to.1layhid12 -0.524885137
## NP_055644.to.1layhid12 -0.541847542
## NP_001371.to.1layhid12 -0.928554477
## NP_002005.to.1layhid12 -0.364074213
## XP_003846537.to.1layhid12 0.237465741
## NP_660208.to.1layhid12 -0.323530138
## NP_004439.to.1layhid12 -2.074504146
## NP_005226.to.1layhid12 0.669768878
## NP_004388.to.1layhid12 0.772344166
## NP_001229372.to.1layhid12 -0.781060765
## NP_005130.to.1layhid12 0.367882239
## NP_004243.to.1layhid12 1.613306250
## NP_003144.to.1layhid12 0.736209443
## NP_001171551.to.1layhid12 0.464702657
## NP_072096.to.1layhid12 3.131464790
## NP_940869.to.1layhid12 1.543311064
## NP_005484.to.1layhid12 -0.277605522
## NP_056513.to.1layhid12 1.374483142
## NP_061170.to.1layhid12 -0.292876214
## NP_653304.to.1layhid12 -0.454360150
## NP_653081.to.1layhid12 -0.172710585
## NP_057164.to.1layhid12 -0.548710494
## NP_006627.to.1layhid12 -0.470579652
## NP_004453.to.1layhid12 -0.056172475
## NP_071739.to.1layhid12 -1.016413678
## NP_060337.to.1layhid12 -0.992689237
## NP_001186744.to.1layhid12 0.116538403
## NP_001186745.to.1layhid12 -0.730908140
## NP_001257810.to.1layhid12 0.819102739
## NP_003212.to.1layhid12 -0.470725282
## NP_060866.to.1layhid12 -2.130401195
## NP_001160163.to.1layhid12 0.851068957
## NP_004499.to.1layhid12 -0.260650075
## NP_006345.to.1layhid12 -0.349654805
## NP_003875.to.1layhid12 0.505287599
## NP_002677.to.1layhid12 -1.059074250
## NP_579917.to.1layhid12 -0.167668284
## NP_001135891.to.1layhid12 -0.907945856
## NP_004522.to.1layhid12 1.229408913
## NP_003767.to.1layhid12 0.829132132
## NP_848597.to.1layhid12 0.143366843
## NP_005970.to.1layhid12 -0.111971626
## NP_060182.to.1layhid12 2.286109430
## NP_001035492.to.1layhid12 1.256383886
## NP_899229.to.1layhid12 1.102420255
## NP_660344.to.1layhid12 -0.934721031
## Intercept.to.1layhid13 -0.391299643
## NP_579899.to.1layhid13 0.007103594
## NP_038479.to.1layhid13 0.947854385
## NP_001258898.to.1layhid13 1.227043410
## NP_542785.to.1layhid13 -0.462677550
## NP_065821.to.1layhid13 1.291903214
## NP_055644.to.1layhid13 -0.017399495
## NP_001371.to.1layhid13 1.124590583
## NP_002005.to.1layhid13 0.721141317
## XP_003846537.to.1layhid13 -1.287014191
## NP_660208.to.1layhid13 0.588984415
## NP_004439.to.1layhid13 0.270338640
## NP_005226.to.1layhid13 0.974263589
## NP_004388.to.1layhid13 -0.172208195
## NP_001229372.to.1layhid13 0.333735493
## NP_005130.to.1layhid13 0.037685844
## NP_004243.to.1layhid13 0.972450823
## NP_003144.to.1layhid13 -0.362911914
## NP_001171551.to.1layhid13 0.465355149
## NP_072096.to.1layhid13 0.744334764
## NP_940869.to.1layhid13 0.488698155
## NP_005484.to.1layhid13 -1.908133054
## NP_056513.to.1layhid13 0.601901180
## NP_061170.to.1layhid13 1.116167676
## NP_653304.to.1layhid13 0.543204938
## NP_653081.to.1layhid13 0.821041767
## NP_057164.to.1layhid13 -2.365850282
## NP_006627.to.1layhid13 1.701486656
## NP_004453.to.1layhid13 -0.700689754
## NP_071739.to.1layhid13 1.626318713
## NP_060337.to.1layhid13 1.839074909
## NP_001186744.to.1layhid13 1.242237284
## NP_001186745.to.1layhid13 -0.787388225
## NP_001257810.to.1layhid13 1.337719067
## NP_003212.to.1layhid13 1.622720090
## NP_060866.to.1layhid13 1.677502760
## NP_001160163.to.1layhid13 0.340101457
## NP_004499.to.1layhid13 0.424323775
## NP_006345.to.1layhid13 -0.771463163
## NP_003875.to.1layhid13 -1.517566048
## NP_002677.to.1layhid13 -1.069754287
## NP_579917.to.1layhid13 -1.232467476
## NP_001135891.to.1layhid13 -0.665037455
## NP_004522.to.1layhid13 0.023770661
## NP_003767.to.1layhid13 1.287705553
## NP_848597.to.1layhid13 -0.343535462
## NP_005970.to.1layhid13 -0.251651727
## NP_060182.to.1layhid13 0.425152965
## NP_001035492.to.1layhid13 -1.153378040
## NP_899229.to.1layhid13 -0.435090841
## NP_660344.to.1layhid13 0.629401535
## Intercept.to.1layhid14 0.324187072
## NP_579899.to.1layhid14 -0.477850795
## NP_038479.to.1layhid14 -1.572499354
## NP_001258898.to.1layhid14 2.843924301
## NP_542785.to.1layhid14 -0.169153026
## NP_065821.to.1layhid14 1.126183711
## NP_055644.to.1layhid14 1.464155979
## NP_001371.to.1layhid14 -0.347430679
## NP_002005.to.1layhid14 -1.025810910
## XP_003846537.to.1layhid14 -0.729312548
## NP_660208.to.1layhid14 -0.527781405
## NP_004439.to.1layhid14 0.163674441
## NP_005226.to.1layhid14 -1.543571607
## NP_004388.to.1layhid14 1.418351461
## NP_001229372.to.1layhid14 0.551062628
## NP_005130.to.1layhid14 -0.801684157
## NP_004243.to.1layhid14 -3.107248934
## NP_003144.to.1layhid14 -1.564281641
## NP_001171551.to.1layhid14 -1.738447978
## NP_072096.to.1layhid14 -1.517531473
## NP_940869.to.1layhid14 -0.236930249
## NP_005484.to.1layhid14 0.447571623
## NP_056513.to.1layhid14 -1.111389545
## NP_061170.to.1layhid14 -2.372778210
## NP_653304.to.1layhid14 0.001225292
## NP_653081.to.1layhid14 0.242409299
## NP_057164.to.1layhid14 -1.655675453
## NP_006627.to.1layhid14 1.012287959
## NP_004453.to.1layhid14 0.967064350
## NP_071739.to.1layhid14 -1.402334471
## NP_060337.to.1layhid14 0.272908015
## NP_001186744.to.1layhid14 -0.010006275
## NP_001186745.to.1layhid14 -0.933633066
## NP_001257810.to.1layhid14 -2.513725797
## NP_003212.to.1layhid14 -0.279962276
## NP_060866.to.1layhid14 -0.343133579
## NP_001160163.to.1layhid14 -0.520363091
## NP_004499.to.1layhid14 -0.921722586
## NP_006345.to.1layhid14 0.440522563
## NP_003875.to.1layhid14 -0.366643088
## NP_002677.to.1layhid14 0.763079605
## NP_579917.to.1layhid14 -0.597194317
## NP_001135891.to.1layhid14 -0.171056575
## NP_004522.to.1layhid14 1.375869724
## NP_003767.to.1layhid14 -0.862364889
## NP_848597.to.1layhid14 0.083581369
## NP_005970.to.1layhid14 -0.719217413
## NP_060182.to.1layhid14 0.569571374
## NP_001035492.to.1layhid14 0.331910276
## NP_899229.to.1layhid14 -0.345027842
## NP_660344.to.1layhid14 0.603526516
## Intercept.to.1layhid15 0.716980402
## NP_579899.to.1layhid15 0.839668160
## NP_038479.to.1layhid15 -1.113265256
## NP_001258898.to.1layhid15 0.240068019
## NP_542785.to.1layhid15 -1.567066328
## NP_065821.to.1layhid15 -0.845208822
## NP_055644.to.1layhid15 -1.996581057
## NP_001371.to.1layhid15 1.060371307
## NP_002005.to.1layhid15 1.720168794
## XP_003846537.to.1layhid15 1.810614428
## NP_660208.to.1layhid15 -1.260113846
## NP_004439.to.1layhid15 -0.919408832
## NP_005226.to.1layhid15 1.604590814
## NP_004388.to.1layhid15 0.940908200
## NP_001229372.to.1layhid15 -1.101239369
## NP_005130.to.1layhid15 -0.210170011
## NP_004243.to.1layhid15 -0.392311420
## NP_003144.to.1layhid15 -1.059268934
## NP_001171551.to.1layhid15 0.762751160
## NP_072096.to.1layhid15 0.312393840
## NP_940869.to.1layhid15 -0.687344384
## NP_005484.to.1layhid15 -1.474568840
## NP_056513.to.1layhid15 -0.897990261
## NP_061170.to.1layhid15 -1.252120777
## NP_653304.to.1layhid15 0.670113904
## NP_653081.to.1layhid15 -2.919641291
## NP_057164.to.1layhid15 -1.409601009
## NP_006627.to.1layhid15 -1.497447271
## NP_004453.to.1layhid15 -3.017060446
## NP_071739.to.1layhid15 0.177179866
## NP_060337.to.1layhid15 -1.621582474
## NP_001186744.to.1layhid15 0.145829158
## NP_001186745.to.1layhid15 -0.543972158
## NP_001257810.to.1layhid15 1.685217079
## NP_003212.to.1layhid15 1.831591611
## NP_060866.to.1layhid15 -2.553272224
## NP_001160163.to.1layhid15 -1.306105967
## NP_004499.to.1layhid15 0.784880418
## NP_006345.to.1layhid15 1.019515188
## NP_003875.to.1layhid15 0.465984151
## NP_002677.to.1layhid15 0.383729723
## NP_579917.to.1layhid15 0.514388214
## NP_001135891.to.1layhid15 1.411461844
## NP_004522.to.1layhid15 -0.329190349
## NP_003767.to.1layhid15 -0.124572729
## NP_848597.to.1layhid15 0.572419593
## NP_005970.to.1layhid15 0.127960072
## NP_060182.to.1layhid15 1.079268900
## NP_001035492.to.1layhid15 0.086111882
## NP_899229.to.1layhid15 -1.425465151
## NP_660344.to.1layhid15 -0.256043357
## Intercept.to.1layhid16 1.862515410
## NP_579899.to.1layhid16 -0.954894218
## NP_038479.to.1layhid16 -0.555479865
## NP_001258898.to.1layhid16 -0.347962174
## NP_542785.to.1layhid16 -0.555328893
## NP_065821.to.1layhid16 0.810763421
## NP_055644.to.1layhid16 0.822801079
## NP_001371.to.1layhid16 -0.988793830
## NP_002005.to.1layhid16 0.095084842
## XP_003846537.to.1layhid16 0.855301006
## NP_660208.to.1layhid16 0.643667537
## NP_004439.to.1layhid16 0.142744900
## NP_005226.to.1layhid16 0.268425418
## NP_004388.to.1layhid16 0.132598183
## NP_001229372.to.1layhid16 0.531000430
## NP_005130.to.1layhid16 -0.139969581
## NP_004243.to.1layhid16 -0.161436389
## NP_003144.to.1layhid16 -0.432885397
## NP_001171551.to.1layhid16 -0.895862953
## NP_072096.to.1layhid16 0.658639870
## NP_940869.to.1layhid16 -1.844200816
## NP_005484.to.1layhid16 0.209373625
## NP_056513.to.1layhid16 -0.694467009
## NP_061170.to.1layhid16 0.460932113
## NP_653304.to.1layhid16 -0.666147463
## NP_653081.to.1layhid16 -0.684546391
## NP_057164.to.1layhid16 3.152124687
## NP_006627.to.1layhid16 -0.073460963
## NP_004453.to.1layhid16 -0.609083229
## NP_071739.to.1layhid16 1.819897781
## NP_060337.to.1layhid16 1.265230535
## NP_001186744.to.1layhid16 -1.525306329
## NP_001186745.to.1layhid16 0.958575488
## NP_001257810.to.1layhid16 1.322047332
## NP_003212.to.1layhid16 0.272039600
## NP_060866.to.1layhid16 4.488563543
## NP_001160163.to.1layhid16 0.144015794
## NP_004499.to.1layhid16 -2.244513674
## NP_006345.to.1layhid16 0.163247124
## NP_003875.to.1layhid16 0.753517556
## NP_002677.to.1layhid16 1.166239111
## NP_579917.to.1layhid16 0.156052568
## NP_001135891.to.1layhid16 0.602645578
## NP_004522.to.1layhid16 1.716079020
## NP_003767.to.1layhid16 0.851760697
## NP_848597.to.1layhid16 0.705646950
## NP_005970.to.1layhid16 -1.427498637
## NP_060182.to.1layhid16 -0.281690729
## NP_001035492.to.1layhid16 0.593733119
## NP_899229.to.1layhid16 -1.069542753
## NP_660344.to.1layhid16 0.505599578
## Intercept.to.1layhid17 -0.461612110
## NP_579899.to.1layhid17 -0.066225633
## NP_038479.to.1layhid17 0.157938801
## NP_001258898.to.1layhid17 -0.240103839
## NP_542785.to.1layhid17 1.546107190
## NP_065821.to.1layhid17 0.784513097
## NP_055644.to.1layhid17 -1.188368021
## NP_001371.to.1layhid17 -0.666015127
## NP_002005.to.1layhid17 -0.256092816
## XP_003846537.to.1layhid17 1.036708090
## NP_660208.to.1layhid17 -0.948835923
## NP_004439.to.1layhid17 0.797267427
## NP_005226.to.1layhid17 0.416586727
## NP_004388.to.1layhid17 1.209533710
## NP_001229372.to.1layhid17 -0.151942024
## NP_005130.to.1layhid17 0.896013525
## NP_004243.to.1layhid17 0.615640104
## NP_003144.to.1layhid17 0.152038148
## NP_001171551.to.1layhid17 0.225097765
## NP_072096.to.1layhid17 -1.425073125
## NP_940869.to.1layhid17 0.085631310
## NP_005484.to.1layhid17 0.285913801
## NP_056513.to.1layhid17 0.655690361
## NP_061170.to.1layhid17 -1.283633341
## NP_653304.to.1layhid17 1.115709706
## NP_653081.to.1layhid17 0.187241500
## NP_057164.to.1layhid17 -0.001447482
## NP_006627.to.1layhid17 1.415564256
## NP_004453.to.1layhid17 1.247835949
## NP_071739.to.1layhid17 0.742851602
## NP_060337.to.1layhid17 -0.862091893
## NP_001186744.to.1layhid17 -0.598315780
## NP_001186745.to.1layhid17 0.478988635
## NP_001257810.to.1layhid17 -0.006478226
## NP_003212.to.1layhid17 0.115826784
## NP_060866.to.1layhid17 -0.298029343
## NP_001160163.to.1layhid17 -0.504447335
## NP_004499.to.1layhid17 -0.124788684
## NP_006345.to.1layhid17 0.048966888
## NP_003875.to.1layhid17 -1.015724265
## NP_002677.to.1layhid17 -0.235435908
## NP_579917.to.1layhid17 -0.846569861
## NP_001135891.to.1layhid17 0.700018247
## NP_004522.to.1layhid17 -1.145701380
## NP_003767.to.1layhid17 0.694508818
## NP_848597.to.1layhid17 1.142587192
## NP_005970.to.1layhid17 -1.935967886
## NP_060182.to.1layhid17 0.193273229
## NP_001035492.to.1layhid17 0.136522048
## NP_899229.to.1layhid17 0.274138335
## NP_660344.to.1layhid17 1.409890642
## Intercept.to.1layhid18 0.933406032
## NP_579899.to.1layhid18 -0.146858179
## NP_038479.to.1layhid18 0.830357718
## NP_001258898.to.1layhid18 0.040434846
## NP_542785.to.1layhid18 0.206376697
## NP_065821.to.1layhid18 1.456271057
## NP_055644.to.1layhid18 -0.274364656
## NP_001371.to.1layhid18 0.379708311
## NP_002005.to.1layhid18 -1.509976080
## XP_003846537.to.1layhid18 -0.943477677
## NP_660208.to.1layhid18 -0.756872692
## NP_004439.to.1layhid18 -0.220402110
## NP_005226.to.1layhid18 -0.311518854
## NP_004388.to.1layhid18 -0.093489700
## NP_001229372.to.1layhid18 -0.602472596
## NP_005130.to.1layhid18 0.278707064
## NP_004243.to.1layhid18 0.266606831
## NP_003144.to.1layhid18 0.822430766
## NP_001171551.to.1layhid18 -1.210036424
## NP_072096.to.1layhid18 0.825347989
## NP_940869.to.1layhid18 0.513418287
## NP_005484.to.1layhid18 -0.116158116
## NP_056513.to.1layhid18 -1.922173205
## NP_061170.to.1layhid18 1.480874934
## NP_653304.to.1layhid18 -0.339804797
## NP_653081.to.1layhid18 0.960961904
## NP_057164.to.1layhid18 0.477989701
## NP_006627.to.1layhid18 0.221590516
## NP_004453.to.1layhid18 -0.599619269
## NP_071739.to.1layhid18 0.226118555
## NP_060337.to.1layhid18 -0.808829248
## NP_001186744.to.1layhid18 0.778444180
## NP_001186745.to.1layhid18 -0.679758942
## NP_001257810.to.1layhid18 -0.151329121
## NP_003212.to.1layhid18 -1.277161988
## NP_060866.to.1layhid18 -0.223828803
## NP_001160163.to.1layhid18 -0.177530232
## NP_004499.to.1layhid18 -0.565365961
## NP_006345.to.1layhid18 -0.207476145
## NP_003875.to.1layhid18 -0.054995880
## NP_002677.to.1layhid18 -0.182534380
## NP_579917.to.1layhid18 -1.116600496
## NP_001135891.to.1layhid18 0.748116772
## NP_004522.to.1layhid18 -1.294190637
## NP_003767.to.1layhid18 1.713675235
## NP_848597.to.1layhid18 0.405276317
## NP_005970.to.1layhid18 0.034952797
## NP_060182.to.1layhid18 -0.445763758
## NP_001035492.to.1layhid18 1.619899869
## NP_899229.to.1layhid18 0.507684369
## NP_660344.to.1layhid18 0.366317964
## Intercept.to.1layhid19 -1.944228087
## NP_579899.to.1layhid19 1.801293719
## NP_038479.to.1layhid19 2.542513170
## NP_001258898.to.1layhid19 0.230948725
## NP_542785.to.1layhid19 0.202439827
## NP_065821.to.1layhid19 -1.581902453
## NP_055644.to.1layhid19 -0.412542561
## NP_001371.to.1layhid19 -0.728916274
## NP_002005.to.1layhid19 0.249042986
## XP_003846537.to.1layhid19 -0.915960396
## NP_660208.to.1layhid19 0.605339320
## NP_004439.to.1layhid19 -0.006714390
## NP_005226.to.1layhid19 -0.728322527
## NP_004388.to.1layhid19 -0.040821785
## NP_001229372.to.1layhid19 -0.669326207
## NP_005130.to.1layhid19 -2.076236076
## NP_004243.to.1layhid19 0.403590251
## NP_003144.to.1layhid19 0.557201769
## NP_001171551.to.1layhid19 1.669515802
## NP_072096.to.1layhid19 1.363025080
## NP_940869.to.1layhid19 -0.361791479
## NP_005484.to.1layhid19 -0.156414913
## NP_056513.to.1layhid19 -0.224882566
## NP_061170.to.1layhid19 -1.107212113
## NP_653304.to.1layhid19 -0.184213693
## NP_653081.to.1layhid19 -1.740617335
## NP_057164.to.1layhid19 -0.751155184
## NP_006627.to.1layhid19 -0.541912139
## NP_004453.to.1layhid19 0.737756471
## NP_071739.to.1layhid19 0.281075308
## NP_060337.to.1layhid19 -0.693144316
## NP_001186744.to.1layhid19 -0.310548114
## NP_001186745.to.1layhid19 -0.094155785
## NP_001257810.to.1layhid19 -1.299696105
## NP_003212.to.1layhid19 0.067977095
## NP_060866.to.1layhid19 -0.594701220
## NP_001160163.to.1layhid19 0.119122555
## NP_004499.to.1layhid19 -0.039410601
## NP_006345.to.1layhid19 1.233881750
## NP_003875.to.1layhid19 1.332894176
## NP_002677.to.1layhid19 0.931368344
## NP_579917.to.1layhid19 -0.551951754
## NP_001135891.to.1layhid19 1.713654774
## NP_004522.to.1layhid19 -0.070968418
## NP_003767.to.1layhid19 1.189401373
## NP_848597.to.1layhid19 1.419059626
## NP_005970.to.1layhid19 -0.793839475
## NP_060182.to.1layhid19 1.218213878
## NP_001035492.to.1layhid19 0.448902369
## NP_899229.to.1layhid19 -0.824860997
## NP_660344.to.1layhid19 1.693069270
## Intercept.to.1layhid20 -0.585005148
## NP_579899.to.1layhid20 -1.150670509
## NP_038479.to.1layhid20 -1.840918372
## NP_001258898.to.1layhid20 -0.030980554
## NP_542785.to.1layhid20 0.991858171
## NP_065821.to.1layhid20 -0.163141173
## NP_055644.to.1layhid20 -0.531580964
## NP_001371.to.1layhid20 1.385936245
## NP_002005.to.1layhid20 -0.600440349
## XP_003846537.to.1layhid20 1.393591392
## NP_660208.to.1layhid20 -1.205392407
## NP_004439.to.1layhid20 0.033384762
## NP_005226.to.1layhid20 0.098340282
## NP_004388.to.1layhid20 -1.116770397
## NP_001229372.to.1layhid20 0.090122129
## NP_005130.to.1layhid20 2.651473507
## NP_004243.to.1layhid20 0.755117407
## NP_003144.to.1layhid20 -1.547412631
## NP_001171551.to.1layhid20 0.377795187
## NP_072096.to.1layhid20 -0.700200819
## NP_940869.to.1layhid20 -0.550512869
## NP_005484.to.1layhid20 -0.964520841
## NP_056513.to.1layhid20 0.131209709
## NP_061170.to.1layhid20 0.636091903
## NP_653304.to.1layhid20 0.335149299
## NP_653081.to.1layhid20 -0.070784173
## NP_057164.to.1layhid20 0.224608111
## NP_006627.to.1layhid20 0.745297109
## NP_004453.to.1layhid20 -0.785403409
## NP_071739.to.1layhid20 1.725680323
## NP_060337.to.1layhid20 0.835396564
## NP_001186744.to.1layhid20 1.520800483
## NP_001186745.to.1layhid20 0.989196453
## NP_001257810.to.1layhid20 0.527161531
## NP_003212.to.1layhid20 -1.379648008
## NP_060866.to.1layhid20 1.453141115
## NP_001160163.to.1layhid20 1.741838554
## NP_004499.to.1layhid20 -1.010571156
## NP_006345.to.1layhid20 -2.616790506
## NP_003875.to.1layhid20 0.224300778
## NP_002677.to.1layhid20 1.104972091
## NP_579917.to.1layhid20 -0.300997208
## NP_001135891.to.1layhid20 -0.533218453
## NP_004522.to.1layhid20 0.517324288
## NP_003767.to.1layhid20 0.791929966
## NP_848597.to.1layhid20 0.115444320
## NP_005970.to.1layhid20 -1.310936460
## NP_060182.to.1layhid20 -0.222151460
## NP_001035492.to.1layhid20 -0.056161067
## NP_899229.to.1layhid20 -0.030186599
## NP_660344.to.1layhid20 -1.935608838
## Intercept.to.1layhid21 0.153465644
## NP_579899.to.1layhid21 -0.784832218
## NP_038479.to.1layhid21 0.441074928
## NP_001258898.to.1layhid21 0.178507735
## NP_542785.to.1layhid21 1.568191750
## NP_065821.to.1layhid21 0.980922680
## NP_055644.to.1layhid21 0.658669806
## NP_001371.to.1layhid21 -1.924074045
## NP_002005.to.1layhid21 -1.970100176
## XP_003846537.to.1layhid21 0.358022832
## NP_660208.to.1layhid21 1.706032712
## NP_004439.to.1layhid21 -0.608240130
## NP_005226.to.1layhid21 -1.757491602
## NP_004388.to.1layhid21 0.513283021
## NP_001229372.to.1layhid21 1.551158795
## NP_005130.to.1layhid21 -0.420181254
## NP_004243.to.1layhid21 1.824523363
## NP_003144.to.1layhid21 -0.230797869
## NP_001171551.to.1layhid21 -0.100099344
## NP_072096.to.1layhid21 -0.474299344
## NP_940869.to.1layhid21 -1.739828041
## NP_005484.to.1layhid21 -3.289345240
## NP_056513.to.1layhid21 -0.131283308
## NP_061170.to.1layhid21 -0.789700287
## NP_653304.to.1layhid21 -0.082284981
## NP_653081.to.1layhid21 -1.994805072
## NP_057164.to.1layhid21 -0.320431425
## NP_006627.to.1layhid21 0.399497941
## NP_004453.to.1layhid21 -0.258908047
## NP_071739.to.1layhid21 -0.709273457
## NP_060337.to.1layhid21 0.765114642
## NP_001186744.to.1layhid21 -2.746137442
## NP_001186745.to.1layhid21 -2.061064907
## NP_001257810.to.1layhid21 1.514671606
## NP_003212.to.1layhid21 2.121780041
## NP_060866.to.1layhid21 -0.153924338
## NP_001160163.to.1layhid21 -0.675913130
## NP_004499.to.1layhid21 0.141435458
## NP_006345.to.1layhid21 1.180267265
## NP_003875.to.1layhid21 1.917108351
## NP_002677.to.1layhid21 -1.254798381
## NP_579917.to.1layhid21 -0.650889062
## NP_001135891.to.1layhid21 -1.602947024
## NP_004522.to.1layhid21 -1.928799329
## NP_003767.to.1layhid21 1.487815657
## NP_848597.to.1layhid21 -0.287871093
## NP_005970.to.1layhid21 0.958806423
## NP_060182.to.1layhid21 0.453871279
## NP_001035492.to.1layhid21 -0.460534056
## NP_899229.to.1layhid21 1.278740758
## NP_660344.to.1layhid21 1.027791582
## Intercept.to.1layhid22 -1.460431092
## NP_579899.to.1layhid22 -1.908880927
## NP_038479.to.1layhid22 -1.419726530
## NP_001258898.to.1layhid22 -0.331746644
## NP_542785.to.1layhid22 0.523456319
## NP_065821.to.1layhid22 -0.283462059
## NP_055644.to.1layhid22 0.058821147
## NP_001371.to.1layhid22 -1.244278011
## NP_002005.to.1layhid22 0.878111826
## XP_003846537.to.1layhid22 -0.948810203
## NP_660208.to.1layhid22 1.475406277
## NP_004439.to.1layhid22 0.313042957
## NP_005226.to.1layhid22 0.467037111
## NP_004388.to.1layhid22 -0.310726771
## NP_001229372.to.1layhid22 -1.278906107
## NP_005130.to.1layhid22 -2.842879215
## NP_004243.to.1layhid22 0.553591497
## NP_003144.to.1layhid22 -0.799527377
## NP_001171551.to.1layhid22 -0.380644478
## NP_072096.to.1layhid22 0.048856898
## NP_940869.to.1layhid22 0.425541477
## NP_005484.to.1layhid22 -1.522147175
## NP_056513.to.1layhid22 -0.440616250
## NP_061170.to.1layhid22 -1.900151528
## NP_653304.to.1layhid22 -1.420040401
## NP_653081.to.1layhid22 0.094790306
## NP_057164.to.1layhid22 -0.818779078
## NP_006627.to.1layhid22 0.844094247
## NP_004453.to.1layhid22 -0.337373263
## NP_071739.to.1layhid22 2.284147677
## NP_060337.to.1layhid22 0.668564206
## NP_001186744.to.1layhid22 -0.195265911
## NP_001186745.to.1layhid22 -0.197792115
## NP_001257810.to.1layhid22 -1.893391391
## NP_003212.to.1layhid22 1.212851111
## NP_060866.to.1layhid22 2.375328791
## NP_001160163.to.1layhid22 0.868706488
## NP_004499.to.1layhid22 2.629965154
## NP_006345.to.1layhid22 -0.615519573
## NP_003875.to.1layhid22 -0.570612750
## NP_002677.to.1layhid22 1.727894382
## NP_579917.to.1layhid22 0.721065752
## NP_001135891.to.1layhid22 1.240000871
## NP_004522.to.1layhid22 0.591545159
## NP_003767.to.1layhid22 2.134089250
## NP_848597.to.1layhid22 -1.036806175
## NP_005970.to.1layhid22 -0.683633510
## NP_060182.to.1layhid22 0.654211166
## NP_001035492.to.1layhid22 -1.249351744
## NP_899229.to.1layhid22 -0.098710573
## NP_660344.to.1layhid22 -3.288401507
## Intercept.to.1layhid23 0.612485105
## NP_579899.to.1layhid23 -1.988673910
## NP_038479.to.1layhid23 -0.628758508
## NP_001258898.to.1layhid23 -1.148075496
## NP_542785.to.1layhid23 2.271411775
## NP_065821.to.1layhid23 0.584482759
## NP_055644.to.1layhid23 0.360222583
## NP_001371.to.1layhid23 0.704462199
## NP_002005.to.1layhid23 0.687917696
## XP_003846537.to.1layhid23 -0.188820107
## NP_660208.to.1layhid23 1.070293739
## NP_004439.to.1layhid23 -0.239392901
## NP_005226.to.1layhid23 -1.906273633
## NP_004388.to.1layhid23 1.039054316
## NP_001229372.to.1layhid23 0.159804718
## NP_005130.to.1layhid23 0.414039166
## NP_004243.to.1layhid23 0.894863246
## NP_003144.to.1layhid23 -0.797778410
## NP_001171551.to.1layhid23 0.043044082
## NP_072096.to.1layhid23 1.943249693
## NP_940869.to.1layhid23 -0.704379092
## NP_005484.to.1layhid23 1.481219398
## NP_056513.to.1layhid23 -0.554840165
## NP_061170.to.1layhid23 1.945237103
## NP_653304.to.1layhid23 -0.522191348
## NP_653081.to.1layhid23 0.235536176
## NP_057164.to.1layhid23 -0.629076844
## NP_006627.to.1layhid23 1.537822313
## NP_004453.to.1layhid23 0.270627275
## NP_071739.to.1layhid23 1.036854410
## NP_060337.to.1layhid23 2.463890817
## NP_001186744.to.1layhid23 -0.737031116
## NP_001186745.to.1layhid23 0.433351157
## NP_001257810.to.1layhid23 0.613653835
## NP_003212.to.1layhid23 -1.605317574
## NP_060866.to.1layhid23 1.039573613
## NP_001160163.to.1layhid23 1.774953796
## NP_004499.to.1layhid23 2.508728540
## NP_006345.to.1layhid23 0.005177406
## NP_003875.to.1layhid23 -0.110684032
## NP_002677.to.1layhid23 -0.580957316
## NP_579917.to.1layhid23 1.955262624
## NP_001135891.to.1layhid23 -0.137973994
## NP_004522.to.1layhid23 1.271503084
## NP_003767.to.1layhid23 -1.874796592
## NP_848597.to.1layhid23 -1.874237689
## NP_005970.to.1layhid23 -1.704034086
## NP_060182.to.1layhid23 2.315739447
## NP_001035492.to.1layhid23 -0.601793868
## NP_899229.to.1layhid23 -2.792440241
## NP_660344.to.1layhid23 -0.376651427
## Intercept.to.1layhid24 -1.871084447
## NP_579899.to.1layhid24 1.346976072
## NP_038479.to.1layhid24 0.333364218
## NP_001258898.to.1layhid24 0.050658913
## NP_542785.to.1layhid24 -1.998720328
## NP_065821.to.1layhid24 1.075952798
## NP_055644.to.1layhid24 -0.524047452
## NP_001371.to.1layhid24 0.594541181
## NP_002005.to.1layhid24 -0.170213725
## XP_003846537.to.1layhid24 0.422328620
## NP_660208.to.1layhid24 1.131187795
## NP_004439.to.1layhid24 -1.381939008
## NP_005226.to.1layhid24 -1.708227102
## NP_004388.to.1layhid24 0.816514548
## NP_001229372.to.1layhid24 -1.404471056
## NP_005130.to.1layhid24 -0.520371117
## NP_004243.to.1layhid24 0.205507249
## NP_003144.to.1layhid24 -0.303005239
## NP_001171551.to.1layhid24 3.249395758
## NP_072096.to.1layhid24 0.089100530
## NP_940869.to.1layhid24 0.458891852
## NP_005484.to.1layhid24 -0.158558024
## NP_056513.to.1layhid24 -0.268662351
## NP_061170.to.1layhid24 0.800953644
## NP_653304.to.1layhid24 -1.277245305
## NP_653081.to.1layhid24 -0.011909938
## NP_057164.to.1layhid24 -0.324187664
## NP_006627.to.1layhid24 1.603969787
## NP_004453.to.1layhid24 -0.748465471
## NP_071739.to.1layhid24 -0.441006468
## NP_060337.to.1layhid24 1.750560531
## NP_001186744.to.1layhid24 0.517224309
## NP_001186745.to.1layhid24 -0.106426849
## NP_001257810.to.1layhid24 0.475076119
## NP_003212.to.1layhid24 2.107803985
## NP_060866.to.1layhid24 1.627655797
## NP_001160163.to.1layhid24 -2.051981927
## NP_004499.to.1layhid24 0.410324783
## NP_006345.to.1layhid24 1.236045402
## NP_003875.to.1layhid24 0.265901270
## NP_002677.to.1layhid24 0.463357474
## NP_579917.to.1layhid24 1.526674811
## NP_001135891.to.1layhid24 1.398908637
## NP_004522.to.1layhid24 1.558908464
## NP_003767.to.1layhid24 -0.444453826
## NP_848597.to.1layhid24 -0.409845813
## NP_005970.to.1layhid24 0.426160477
## NP_060182.to.1layhid24 -0.090491806
## NP_001035492.to.1layhid24 0.776436511
## NP_899229.to.1layhid24 -3.092135812
## NP_660344.to.1layhid24 1.533787344
## Intercept.to.1layhid25 1.444096344
## NP_579899.to.1layhid25 0.547123419
## NP_038479.to.1layhid25 0.937388778
## NP_001258898.to.1layhid25 -1.657739303
## NP_542785.to.1layhid25 1.620684323
## NP_065821.to.1layhid25 -1.625183619
## NP_055644.to.1layhid25 -0.330272021
## NP_001371.to.1layhid25 0.675241993
## NP_002005.to.1layhid25 -1.213827936
## XP_003846537.to.1layhid25 0.210514742
## NP_660208.to.1layhid25 0.601853693
## NP_004439.to.1layhid25 -0.176456283
## NP_005226.to.1layhid25 0.595468187
## NP_004388.to.1layhid25 0.644521459
## NP_001229372.to.1layhid25 -0.592668219
## NP_005130.to.1layhid25 0.358232676
## NP_004243.to.1layhid25 1.180730419
## NP_003144.to.1layhid25 0.402746924
## NP_001171551.to.1layhid25 0.498788834
## NP_072096.to.1layhid25 -0.037824163
## NP_940869.to.1layhid25 0.194218899
## NP_005484.to.1layhid25 0.466005164
## NP_056513.to.1layhid25 -1.249622145
## NP_061170.to.1layhid25 -0.995732111
## NP_653304.to.1layhid25 0.864014243
## NP_653081.to.1layhid25 -2.082465499
## NP_057164.to.1layhid25 2.547642749
## NP_006627.to.1layhid25 -0.617077337
## NP_004453.to.1layhid25 -0.180196964
## NP_071739.to.1layhid25 -1.346575129
## NP_060337.to.1layhid25 -1.144100338
## NP_001186744.to.1layhid25 -2.959024010
## NP_001186745.to.1layhid25 -2.103739540
## NP_001257810.to.1layhid25 1.116737252
## NP_003212.to.1layhid25 -0.715181678
## NP_060866.to.1layhid25 -0.301386086
## NP_001160163.to.1layhid25 -0.782026049
## NP_004499.to.1layhid25 -0.374443369
## NP_006345.to.1layhid25 0.892454680
## NP_003875.to.1layhid25 -0.472189580
## NP_002677.to.1layhid25 -0.176130552
## NP_579917.to.1layhid25 0.567102694
## NP_001135891.to.1layhid25 -0.295702826
## NP_004522.to.1layhid25 -0.914420589
## NP_003767.to.1layhid25 -0.476139496
## NP_848597.to.1layhid25 -0.975996096
## NP_005970.to.1layhid25 -0.949358667
## NP_060182.to.1layhid25 1.079120948
## NP_001035492.to.1layhid25 2.376210470
## NP_899229.to.1layhid25 -1.159357691
## NP_660344.to.1layhid25 1.682742759
## Intercept.to.1layhid26 0.045213416
## NP_579899.to.1layhid26 0.960296762
## NP_038479.to.1layhid26 1.373872578
## NP_001258898.to.1layhid26 -1.540291104
## NP_542785.to.1layhid26 0.760811537
## NP_065821.to.1layhid26 1.543662403
## NP_055644.to.1layhid26 0.095098898
## NP_001371.to.1layhid26 -0.525614469
## NP_002005.to.1layhid26 -1.244004897
## XP_003846537.to.1layhid26 1.745198799
## NP_660208.to.1layhid26 0.498804766
## NP_004439.to.1layhid26 -1.404392278
## NP_005226.to.1layhid26 -0.404796771
## NP_004388.to.1layhid26 -2.084874318
## NP_001229372.to.1layhid26 0.686412584
## NP_005130.to.1layhid26 0.635137708
## NP_004243.to.1layhid26 0.184752218
## NP_003144.to.1layhid26 0.608046941
## NP_001171551.to.1layhid26 0.114057277
## NP_072096.to.1layhid26 0.434413241
## NP_940869.to.1layhid26 -0.288971350
## NP_005484.to.1layhid26 1.635307379
## NP_056513.to.1layhid26 -0.011898375
## NP_061170.to.1layhid26 1.550362136
## NP_653304.to.1layhid26 -3.042018921
## NP_653081.to.1layhid26 -0.120479403
## NP_057164.to.1layhid26 1.305955983
## NP_006627.to.1layhid26 -0.998822711
## NP_004453.to.1layhid26 -0.561862464
## NP_071739.to.1layhid26 -2.207225368
## NP_060337.to.1layhid26 -0.380928992
## NP_001186744.to.1layhid26 0.682181589
## NP_001186745.to.1layhid26 -2.837828945
## NP_001257810.to.1layhid26 -1.394626983
## NP_003212.to.1layhid26 -0.682315100
## NP_060866.to.1layhid26 -0.815857035
## NP_001160163.to.1layhid26 -2.198609366
## NP_004499.to.1layhid26 -1.355975111
## NP_006345.to.1layhid26 -0.009474467
## NP_003875.to.1layhid26 -1.418484680
## NP_002677.to.1layhid26 -1.019061857
## NP_579917.to.1layhid26 0.793269265
## NP_001135891.to.1layhid26 -0.493694985
## NP_004522.to.1layhid26 -1.391438151
## NP_003767.to.1layhid26 -1.177993337
## NP_848597.to.1layhid26 -0.396075847
## NP_005970.to.1layhid26 0.202146638
## NP_060182.to.1layhid26 -0.893600192
## NP_001035492.to.1layhid26 1.035703988
## NP_899229.to.1layhid26 -0.553749593
## NP_660344.to.1layhid26 2.448913089
## Intercept.to.1layhid27 0.612605989
## NP_579899.to.1layhid27 -0.619772642
## NP_038479.to.1layhid27 -2.814489301
## NP_001258898.to.1layhid27 -1.231053848
## NP_542785.to.1layhid27 2.426989658
## NP_065821.to.1layhid27 -2.465105810
## NP_055644.to.1layhid27 0.936000271
## NP_001371.to.1layhid27 0.011839426
## NP_002005.to.1layhid27 -0.324936286
## XP_003846537.to.1layhid27 0.227450622
## NP_660208.to.1layhid27 -0.764212695
## NP_004439.to.1layhid27 -1.168497392
## NP_005226.to.1layhid27 -0.460118304
## NP_004388.to.1layhid27 -2.598179123
## NP_001229372.to.1layhid27 0.195325317
## NP_005130.to.1layhid27 -1.494279428
## NP_004243.to.1layhid27 0.493461552
## NP_003144.to.1layhid27 0.023162998
## NP_001171551.to.1layhid27 -0.117035003
## NP_072096.to.1layhid27 2.004639963
## NP_940869.to.1layhid27 2.142928658
## NP_005484.to.1layhid27 0.522224095
## NP_056513.to.1layhid27 1.746914186
## NP_061170.to.1layhid27 0.345529712
## NP_653304.to.1layhid27 -0.727466650
## NP_653081.to.1layhid27 -1.654473957
## NP_057164.to.1layhid27 -1.499222807
## NP_006627.to.1layhid27 -0.828569943
## NP_004453.to.1layhid27 0.349005988
## NP_071739.to.1layhid27 -1.642340604
## NP_060337.to.1layhid27 -0.545711730
## NP_001186744.to.1layhid27 -1.293448496
## NP_001186745.to.1layhid27 0.389327933
## NP_001257810.to.1layhid27 -0.037476823
## NP_003212.to.1layhid27 1.256026863
## NP_060866.to.1layhid27 0.332241241
## NP_001160163.to.1layhid27 -0.411748628
## NP_004499.to.1layhid27 0.148684420
## NP_006345.to.1layhid27 1.312182102
## NP_003875.to.1layhid27 -0.771457983
## NP_002677.to.1layhid27 0.202127009
## NP_579917.to.1layhid27 0.286523758
## NP_001135891.to.1layhid27 -0.374687854
## NP_004522.to.1layhid27 0.307285678
## NP_003767.to.1layhid27 0.365837664
## NP_848597.to.1layhid27 0.459387662
## NP_005970.to.1layhid27 -0.947488293
## NP_060182.to.1layhid27 -0.173486737
## NP_001035492.to.1layhid27 2.282501768
## NP_899229.to.1layhid27 0.203222632
## NP_660344.to.1layhid27 -1.405195397
## Intercept.to.1layhid28 -0.166220010
## NP_579899.to.1layhid28 1.669515398
## NP_038479.to.1layhid28 -0.168867316
## NP_001258898.to.1layhid28 -0.994900817
## NP_542785.to.1layhid28 0.556321439
## NP_065821.to.1layhid28 1.421331706
## NP_055644.to.1layhid28 -0.291707570
## NP_001371.to.1layhid28 0.620794852
## NP_002005.to.1layhid28 1.619804658
## XP_003846537.to.1layhid28 -0.074900088
## NP_660208.to.1layhid28 0.979489696
## NP_004439.to.1layhid28 1.692255083
## NP_005226.to.1layhid28 0.659964505
## NP_004388.to.1layhid28 0.727837552
## NP_001229372.to.1layhid28 0.227760867
## NP_005130.to.1layhid28 -1.317281388
## NP_004243.to.1layhid28 -1.545646385
## NP_003144.to.1layhid28 -1.346180092
## NP_001171551.to.1layhid28 -1.468991904
## NP_072096.to.1layhid28 1.031811015
## NP_940869.to.1layhid28 0.211305052
## NP_005484.to.1layhid28 0.082882907
## NP_056513.to.1layhid28 1.314405270
## NP_061170.to.1layhid28 -0.621768608
## NP_653304.to.1layhid28 -0.748144150
## NP_653081.to.1layhid28 -1.660362105
## NP_057164.to.1layhid28 2.093503111
## NP_006627.to.1layhid28 -1.327613468
## NP_004453.to.1layhid28 0.235693581
## NP_071739.to.1layhid28 0.151994605
## NP_060337.to.1layhid28 3.412930939
## NP_001186744.to.1layhid28 -0.856421692
## NP_001186745.to.1layhid28 1.183707296
## NP_001257810.to.1layhid28 1.660300909
## NP_003212.to.1layhid28 -0.273784950
## NP_060866.to.1layhid28 1.776934651
## NP_001160163.to.1layhid28 -0.223037959
## NP_004499.to.1layhid28 0.655725390
## NP_006345.to.1layhid28 0.435165246
## NP_003875.to.1layhid28 1.963985951
## NP_002677.to.1layhid28 -0.572079830
## NP_579917.to.1layhid28 -0.875466548
## NP_001135891.to.1layhid28 1.729496018
## NP_004522.to.1layhid28 -0.161773569
## NP_003767.to.1layhid28 -0.323180457
## NP_848597.to.1layhid28 0.903473707
## NP_005970.to.1layhid28 0.895477389
## NP_060182.to.1layhid28 -1.447835445
## NP_001035492.to.1layhid28 2.161726416
## NP_899229.to.1layhid28 0.584516265
## NP_660344.to.1layhid28 -0.253268697
## Intercept.to.1layhid29 1.219568659
## NP_579899.to.1layhid29 0.599817857
## NP_038479.to.1layhid29 -1.610709290
## NP_001258898.to.1layhid29 -0.362339489
## NP_542785.to.1layhid29 0.968483769
## NP_065821.to.1layhid29 -0.172852596
## NP_055644.to.1layhid29 -0.074721943
## NP_001371.to.1layhid29 -2.002456067
## NP_002005.to.1layhid29 -0.592387390
## XP_003846537.to.1layhid29 -0.927404361
## NP_660208.to.1layhid29 1.407124061
## NP_004439.to.1layhid29 -1.037255626
## NP_005226.to.1layhid29 -0.108718714
## NP_004388.to.1layhid29 -0.230340603
## NP_001229372.to.1layhid29 0.686456788
## NP_005130.to.1layhid29 -0.630247157
## NP_004243.to.1layhid29 -0.443988645
## NP_003144.to.1layhid29 0.699344921
## NP_001171551.to.1layhid29 -0.802940459
## NP_072096.to.1layhid29 -0.774188391
## NP_940869.to.1layhid29 0.130825753
## NP_005484.to.1layhid29 0.202688580
## NP_056513.to.1layhid29 -0.171092013
## NP_061170.to.1layhid29 2.784509579
## NP_653304.to.1layhid29 -0.670751605
## NP_653081.to.1layhid29 1.791284180
## NP_057164.to.1layhid29 -1.350271369
## NP_006627.to.1layhid29 -1.018611566
## NP_004453.to.1layhid29 0.027140243
## NP_071739.to.1layhid29 -2.046896108
## NP_060337.to.1layhid29 -1.445804231
## NP_001186744.to.1layhid29 -0.796779341
## NP_001186745.to.1layhid29 -0.802413398
## NP_001257810.to.1layhid29 0.692731557
## NP_003212.to.1layhid29 1.028105166
## NP_060866.to.1layhid29 1.725930162
## NP_001160163.to.1layhid29 1.729987862
## NP_004499.to.1layhid29 0.926432053
## NP_006345.to.1layhid29 -0.765822939
## NP_003875.to.1layhid29 0.554413628
## NP_002677.to.1layhid29 1.134712680
## NP_579917.to.1layhid29 0.649683105
## NP_001135891.to.1layhid29 0.503201451
## NP_004522.to.1layhid29 -0.410519139
## NP_003767.to.1layhid29 0.290254575
## NP_848597.to.1layhid29 0.099426115
## NP_005970.to.1layhid29 -0.858915640
## NP_060182.to.1layhid29 -1.083306254
## NP_001035492.to.1layhid29 0.654758297
## NP_899229.to.1layhid29 0.792067698
## NP_660344.to.1layhid29 -0.472082791
## Intercept.to.1layhid30 1.237098967
## NP_579899.to.1layhid30 -0.157423150
## NP_038479.to.1layhid30 -1.154314439
## NP_001258898.to.1layhid30 0.377895642
## NP_542785.to.1layhid30 0.922719566
## NP_065821.to.1layhid30 0.927829255
## NP_055644.to.1layhid30 0.496911973
## NP_001371.to.1layhid30 1.632702210
## NP_002005.to.1layhid30 0.312517729
## XP_003846537.to.1layhid30 -0.394418554
## NP_660208.to.1layhid30 -0.566459234
## NP_004439.to.1layhid30 1.695976075
## NP_005226.to.1layhid30 0.260933081
## NP_004388.to.1layhid30 -1.341158766
## NP_001229372.to.1layhid30 -0.865025416
## NP_005130.to.1layhid30 2.171809288
## NP_004243.to.1layhid30 1.874102363
## NP_003144.to.1layhid30 -1.489372493
## NP_001171551.to.1layhid30 -1.949974418
## NP_072096.to.1layhid30 -2.734452945
## NP_940869.to.1layhid30 -0.205804279
## NP_005484.to.1layhid30 -0.534239394
## NP_056513.to.1layhid30 0.978758267
## NP_061170.to.1layhid30 -0.072521029
## NP_653304.to.1layhid30 0.262402891
## NP_653081.to.1layhid30 1.458242091
## NP_057164.to.1layhid30 1.342061313
## NP_006627.to.1layhid30 -1.102818615
## NP_004453.to.1layhid30 0.222801806
## NP_071739.to.1layhid30 0.361528760
## NP_060337.to.1layhid30 -0.524969877
## NP_001186744.to.1layhid30 1.367927356
## NP_001186745.to.1layhid30 1.441386075
## NP_001257810.to.1layhid30 2.443447098
## NP_003212.to.1layhid30 0.924529536
## NP_060866.to.1layhid30 0.240588295
## NP_001160163.to.1layhid30 0.810679153
## NP_004499.to.1layhid30 0.651999980
## NP_006345.to.1layhid30 0.055460698
## NP_003875.to.1layhid30 0.621711700
## NP_002677.to.1layhid30 -0.708597107
## NP_579917.to.1layhid30 -0.957237460
## NP_001135891.to.1layhid30 -0.307231742
## NP_004522.to.1layhid30 1.159165546
## NP_003767.to.1layhid30 0.254909188
## NP_848597.to.1layhid30 0.862568636
## NP_005970.to.1layhid30 0.385297853
## NP_060182.to.1layhid30 -0.225944856
## NP_001035492.to.1layhid30 -0.419520091
## NP_899229.to.1layhid30 0.321156846
## NP_660344.to.1layhid30 1.924693282
## Intercept.to.2layhid1 -0.047776793
## 1layhid1.to.2layhid1 0.383729454
## 1layhid2.to.2layhid1 0.127908062
## 1layhid3.to.2layhid1 0.584314908
## 1layhid4.to.2layhid1 -0.778197987
## 1layhid5.to.2layhid1 1.261304780
## 1layhid6.to.2layhid1 -0.680707949
## 1layhid7.to.2layhid1 1.350256073
## 1layhid8.to.2layhid1 0.903255761
## 1layhid9.to.2layhid1 -0.359645774
## 1layhid10.to.2layhid1 -1.211905688
## 1layhid11.to.2layhid1 -0.339927800
## 1layhid12.to.2layhid1 2.177696981
## 1layhid13.to.2layhid1 0.877646697
## 1layhid14.to.2layhid1 -1.713293322
## 1layhid15.to.2layhid1 1.829539025
## 1layhid16.to.2layhid1 2.405802022
## 1layhid17.to.2layhid1 0.835753165
## 1layhid18.to.2layhid1 0.462435943
## 1layhid19.to.2layhid1 -0.174483134
## 1layhid20.to.2layhid1 -0.047619164
## 1layhid21.to.2layhid1 0.697111994
## 1layhid22.to.2layhid1 0.412975371
## 1layhid23.to.2layhid1 -1.222325753
## 1layhid24.to.2layhid1 -1.419409018
## 1layhid25.to.2layhid1 2.946707014
## 1layhid26.to.2layhid1 0.656479264
## 1layhid27.to.2layhid1 1.061540076
## 1layhid28.to.2layhid1 -1.026989982
## 1layhid29.to.2layhid1 -0.569550513
## 1layhid30.to.2layhid1 -0.697190390
## Intercept.to.2layhid2 0.435648165
## 1layhid1.to.2layhid2 -0.192643052
## 1layhid2.to.2layhid2 0.174306657
## 1layhid3.to.2layhid2 1.083209480
## 1layhid4.to.2layhid2 -3.044521048
## 1layhid5.to.2layhid2 -2.399927164
## 1layhid6.to.2layhid2 -0.573246588
## 1layhid7.to.2layhid2 -0.618585903
## 1layhid8.to.2layhid2 0.037288182
## 1layhid9.to.2layhid2 -1.055786156
## 1layhid10.to.2layhid2 1.281156818
## 1layhid11.to.2layhid2 0.583612707
## 1layhid12.to.2layhid2 -0.401653867
## 1layhid13.to.2layhid2 0.944231588
## 1layhid14.to.2layhid2 1.297385894
## 1layhid15.to.2layhid2 -2.748015286
## 1layhid16.to.2layhid2 -0.160815185
## 1layhid17.to.2layhid2 1.795666277
## 1layhid18.to.2layhid2 -0.578990349
## 1layhid19.to.2layhid2 -0.102792071
## 1layhid20.to.2layhid2 -1.193511353
## 1layhid21.to.2layhid2 -0.349861288
## 1layhid22.to.2layhid2 -0.299939027
## 1layhid23.to.2layhid2 0.446943964
## 1layhid24.to.2layhid2 -1.470676217
## 1layhid25.to.2layhid2 1.590033648
## 1layhid26.to.2layhid2 -0.234813341
## 1layhid27.to.2layhid2 0.909917670
## 1layhid28.to.2layhid2 0.807692301
## 1layhid29.to.2layhid2 -0.467453068
## 1layhid30.to.2layhid2 -1.020936468
## Intercept.to.2layhid3 -1.392604625
## 1layhid1.to.2layhid3 1.492024200
## 1layhid2.to.2layhid3 -0.492681401
## 1layhid3.to.2layhid3 0.855816589
## 1layhid4.to.2layhid3 -2.459328642
## 1layhid5.to.2layhid3 0.803011662
## 1layhid6.to.2layhid3 -0.434081477
## 1layhid7.to.2layhid3 -1.705989558
## 1layhid8.to.2layhid3 3.727863679
## 1layhid9.to.2layhid3 0.117661621
## 1layhid10.to.2layhid3 -0.382878167
## 1layhid11.to.2layhid3 -0.296492878
## 1layhid12.to.2layhid3 -0.807351356
## 1layhid13.to.2layhid3 -0.303711236
## 1layhid14.to.2layhid3 -0.292832511
## 1layhid15.to.2layhid3 0.190187171
## 1layhid16.to.2layhid3 0.992962984
## 1layhid17.to.2layhid3 -1.774384932
## 1layhid18.to.2layhid3 1.884829622
## 1layhid19.to.2layhid3 -1.353048339
## 1layhid20.to.2layhid3 4.192436329
## 1layhid21.to.2layhid3 -0.418033329
## 1layhid22.to.2layhid3 1.859301391
## 1layhid23.to.2layhid3 1.275193479
## 1layhid24.to.2layhid3 0.092633902
## 1layhid25.to.2layhid3 -0.281998742
## 1layhid26.to.2layhid3 -1.574058815
## 1layhid27.to.2layhid3 -0.143721729
## 1layhid28.to.2layhid3 0.131105764
## 1layhid29.to.2layhid3 0.365528630
## 1layhid30.to.2layhid3 -1.195878904
## Intercept.to.2layhid4 -0.794088306
## 1layhid1.to.2layhid4 1.236761354
## 1layhid2.to.2layhid4 -0.872347144
## 1layhid3.to.2layhid4 0.458208319
## 1layhid4.to.2layhid4 -1.939501022
## 1layhid5.to.2layhid4 -0.529687389
## 1layhid6.to.2layhid4 2.460296079
## 1layhid7.to.2layhid4 2.325656104
## 1layhid8.to.2layhid4 0.285292219
## 1layhid9.to.2layhid4 -1.660818216
## 1layhid10.to.2layhid4 0.198468405
## 1layhid11.to.2layhid4 -2.169057791
## 1layhid12.to.2layhid4 0.218257198
## 1layhid13.to.2layhid4 -0.194225087
## 1layhid14.to.2layhid4 0.669240765
## 1layhid15.to.2layhid4 0.230246534
## 1layhid16.to.2layhid4 0.040557471
## 1layhid17.to.2layhid4 -1.302732139
## 1layhid18.to.2layhid4 0.755752282
## 1layhid19.to.2layhid4 0.060235958
## 1layhid20.to.2layhid4 0.990884736
## 1layhid21.to.2layhid4 -0.196782688
## 1layhid22.to.2layhid4 -0.183142597
## 1layhid23.to.2layhid4 0.516704103
## 1layhid24.to.2layhid4 -0.327718624
## 1layhid25.to.2layhid4 0.340990022
## 1layhid26.to.2layhid4 0.333775860
## 1layhid27.to.2layhid4 -1.387469292
## 1layhid28.to.2layhid4 -0.050671912
## 1layhid29.to.2layhid4 -0.849599475
## 1layhid30.to.2layhid4 -0.128909267
## Intercept.to.2layhid5 1.086544971
## 1layhid1.to.2layhid5 2.634041192
## 1layhid2.to.2layhid5 0.389898419
## 1layhid3.to.2layhid5 -1.728733070
## 1layhid4.to.2layhid5 -2.802353442
## 1layhid5.to.2layhid5 1.302431051
## 1layhid6.to.2layhid5 1.236712340
## 1layhid7.to.2layhid5 -0.034902020
## 1layhid8.to.2layhid5 0.870313011
## 1layhid9.to.2layhid5 0.331239771
## 1layhid10.to.2layhid5 -0.695140191
## 1layhid11.to.2layhid5 0.064979899
## 1layhid12.to.2layhid5 -0.264859339
## 1layhid13.to.2layhid5 1.273152222
## 1layhid14.to.2layhid5 -0.059097155
## 1layhid15.to.2layhid5 0.152043296
## 1layhid16.to.2layhid5 -1.338746934
## 1layhid17.to.2layhid5 1.619871047
## 1layhid18.to.2layhid5 1.077968057
## 1layhid19.to.2layhid5 -0.293114430
## 1layhid20.to.2layhid5 0.442270061
## 1layhid21.to.2layhid5 -1.581903390
## 1layhid22.to.2layhid5 1.173726043
## 1layhid23.to.2layhid5 0.908836180
## 1layhid24.to.2layhid5 -1.659189954
## 1layhid25.to.2layhid5 -1.407602618
## 1layhid26.to.2layhid5 -1.944352108
## 1layhid27.to.2layhid5 -0.324671750
## 1layhid28.to.2layhid5 -1.761157201
## 1layhid29.to.2layhid5 2.469158508
## 1layhid30.to.2layhid5 0.935625116
## Intercept.to.2layhid6 0.211019853
## 1layhid1.to.2layhid6 -0.288002410
## 1layhid2.to.2layhid6 -0.631833268
## 1layhid3.to.2layhid6 0.819855534
## 1layhid4.to.2layhid6 -1.800129645
## 1layhid5.to.2layhid6 -1.456294517
## 1layhid6.to.2layhid6 -1.110413704
## 1layhid7.to.2layhid6 -1.626832438
## 1layhid8.to.2layhid6 -0.433571565
## 1layhid9.to.2layhid6 -0.006434052
## 1layhid10.to.2layhid6 1.793740208
## 1layhid11.to.2layhid6 -0.491073436
## 1layhid12.to.2layhid6 0.522791098
## 1layhid13.to.2layhid6 -0.382727285
## 1layhid14.to.2layhid6 -0.428501490
## 1layhid15.to.2layhid6 0.229796911
## 1layhid16.to.2layhid6 0.295534518
## 1layhid17.to.2layhid6 0.358606849
## 1layhid18.to.2layhid6 0.435629390
## 1layhid19.to.2layhid6 0.778864723
## 1layhid20.to.2layhid6 -0.708190385
## 1layhid21.to.2layhid6 0.063600914
## 1layhid22.to.2layhid6 -2.289255837
## 1layhid23.to.2layhid6 -1.805796302
## 1layhid24.to.2layhid6 0.318665861
## 1layhid25.to.2layhid6 0.991153601
## 1layhid26.to.2layhid6 1.443765437
## 1layhid27.to.2layhid6 -0.344564966
## 1layhid28.to.2layhid6 1.371820463
## 1layhid29.to.2layhid6 -2.270188814
## 1layhid30.to.2layhid6 -0.334045192
## Intercept.to.2layhid7 -0.953007855
## 1layhid1.to.2layhid7 0.360500579
## 1layhid2.to.2layhid7 -0.431643045
## 1layhid3.to.2layhid7 1.614561582
## 1layhid4.to.2layhid7 0.280926472
## 1layhid5.to.2layhid7 0.479111525
## 1layhid6.to.2layhid7 -1.350329559
## 1layhid7.to.2layhid7 -0.163351029
## 1layhid8.to.2layhid7 0.042359720
## 1layhid9.to.2layhid7 -0.804825456
## 1layhid10.to.2layhid7 -0.412091151
## 1layhid11.to.2layhid7 0.526939829
## 1layhid12.to.2layhid7 0.612523293
## 1layhid13.to.2layhid7 -0.777711082
## 1layhid14.to.2layhid7 -0.206713836
## 1layhid15.to.2layhid7 0.218073121
## 1layhid16.to.2layhid7 -0.813409447
## 1layhid17.to.2layhid7 0.122170174
## 1layhid18.to.2layhid7 2.316360221
## 1layhid19.to.2layhid7 -1.351883987
## 1layhid20.to.2layhid7 0.358881658
## 1layhid21.to.2layhid7 0.496649017
## 1layhid22.to.2layhid7 -1.916300458
## 1layhid23.to.2layhid7 -1.103827152
## 1layhid24.to.2layhid7 -0.860834594
## 1layhid25.to.2layhid7 0.612460000
## 1layhid26.to.2layhid7 0.157541048
## 1layhid27.to.2layhid7 -0.421596720
## 1layhid28.to.2layhid7 0.394888803
## 1layhid29.to.2layhid7 -1.747585416
## 1layhid30.to.2layhid7 -0.063053423
## Intercept.to.2layhid8 -0.155985484
## 1layhid1.to.2layhid8 0.580296182
## 1layhid2.to.2layhid8 -1.186840896
## 1layhid3.to.2layhid8 0.178392117
## 1layhid4.to.2layhid8 -2.818507395
## 1layhid5.to.2layhid8 -3.053635698
## 1layhid6.to.2layhid8 -2.502735033
## 1layhid7.to.2layhid8 -3.760854134
## 1layhid8.to.2layhid8 1.738206404
## 1layhid9.to.2layhid8 -0.043971902
## 1layhid10.to.2layhid8 1.071853967
## 1layhid11.to.2layhid8 0.960737000
## 1layhid12.to.2layhid8 -0.815531497
## 1layhid13.to.2layhid8 -2.170792224
## 1layhid14.to.2layhid8 1.648122161
## 1layhid15.to.2layhid8 -0.699333327
## 1layhid16.to.2layhid8 -0.830379074
## 1layhid17.to.2layhid8 -0.349896122
## 1layhid18.to.2layhid8 1.081960556
## 1layhid19.to.2layhid8 -2.666449661
## 1layhid20.to.2layhid8 -0.683321453
## 1layhid21.to.2layhid8 -0.938419154
## 1layhid22.to.2layhid8 -0.460246135
## 1layhid23.to.2layhid8 0.932532017
## 1layhid24.to.2layhid8 -2.540338657
## 1layhid25.to.2layhid8 2.069156601
## 1layhid26.to.2layhid8 -0.013236115
## 1layhid27.to.2layhid8 1.605998792
## 1layhid28.to.2layhid8 -0.378417310
## 1layhid29.to.2layhid8 -0.019349909
## 1layhid30.to.2layhid8 -0.187389297
## Intercept.to.2layhid9 -0.053861352
## 1layhid1.to.2layhid9 -1.483904132
## 1layhid2.to.2layhid9 -1.878528798
## 1layhid3.to.2layhid9 0.505239488
## 1layhid4.to.2layhid9 -1.498287001
## 1layhid5.to.2layhid9 -0.413872322
## 1layhid6.to.2layhid9 -1.830652404
## 1layhid7.to.2layhid9 -1.915903628
## 1layhid8.to.2layhid9 0.912152220
## 1layhid9.to.2layhid9 -1.174343833
## 1layhid10.to.2layhid9 0.751901146
## 1layhid11.to.2layhid9 1.472161444
## 1layhid12.to.2layhid9 0.621874819
## 1layhid13.to.2layhid9 0.588578999
## 1layhid14.to.2layhid9 2.868813295
## 1layhid15.to.2layhid9 -1.064022659
## 1layhid16.to.2layhid9 -3.815007942
## 1layhid17.to.2layhid9 1.316263556
## 1layhid18.to.2layhid9 -0.241188435
## 1layhid19.to.2layhid9 -0.223566662
## 1layhid20.to.2layhid9 -0.556679378
## 1layhid21.to.2layhid9 1.079023643
## 1layhid22.to.2layhid9 0.326510969
## 1layhid23.to.2layhid9 -0.412458514
## 1layhid24.to.2layhid9 -1.018987757
## 1layhid25.to.2layhid9 -0.077044060
## 1layhid26.to.2layhid9 0.476860400
## 1layhid27.to.2layhid9 0.380580532
## 1layhid28.to.2layhid9 -0.352699036
## 1layhid29.to.2layhid9 1.476804992
## 1layhid30.to.2layhid9 1.793658818
## Intercept.to.2layhid10 -0.011277509
## 1layhid1.to.2layhid10 1.250957460
## 1layhid2.to.2layhid10 0.114906590
## 1layhid3.to.2layhid10 -0.533387244
## 1layhid4.to.2layhid10 0.721062002
## 1layhid5.to.2layhid10 1.369458415
## 1layhid6.to.2layhid10 -1.408470593
## 1layhid7.to.2layhid10 0.663302957
## 1layhid8.to.2layhid10 0.477347405
## 1layhid9.to.2layhid10 -0.131385147
## 1layhid10.to.2layhid10 -2.062495979
## 1layhid11.to.2layhid10 2.085150494
## 1layhid12.to.2layhid10 -0.577987992
## 1layhid13.to.2layhid10 1.450624039
## 1layhid14.to.2layhid10 -0.757757175
## 1layhid15.to.2layhid10 -0.199204926
## 1layhid16.to.2layhid10 0.827188735
## 1layhid17.to.2layhid10 0.816416766
## 1layhid18.to.2layhid10 -0.439491587
## 1layhid19.to.2layhid10 0.215877078
## 1layhid20.to.2layhid10 -1.196046480
## 1layhid21.to.2layhid10 -0.585039763
## 1layhid22.to.2layhid10 1.798664642
## 1layhid23.to.2layhid10 0.807084609
## 1layhid24.to.2layhid10 0.696366848
## 1layhid25.to.2layhid10 -2.202650095
## 1layhid26.to.2layhid10 -0.498091095
## 1layhid27.to.2layhid10 0.807966217
## 1layhid28.to.2layhid10 0.634341727
## 1layhid29.to.2layhid10 -0.086489819
## 1layhid30.to.2layhid10 1.263459524
## Intercept.to.2layhid11 0.356946304
## 1layhid1.to.2layhid11 -1.275165936
## 1layhid2.to.2layhid11 0.243848450
## 1layhid3.to.2layhid11 0.581525799
## 1layhid4.to.2layhid11 -1.101141856
## 1layhid5.to.2layhid11 0.014389266
## 1layhid6.to.2layhid11 -1.527912078
## 1layhid7.to.2layhid11 -0.925279982
## 1layhid8.to.2layhid11 -0.621659140
## 1layhid9.to.2layhid11 -1.106965291
## 1layhid10.to.2layhid11 2.603108762
## 1layhid11.to.2layhid11 -0.677268038
## 1layhid12.to.2layhid11 0.547940556
## 1layhid13.to.2layhid11 -3.841175547
## 1layhid14.to.2layhid11 1.582408692
## 1layhid15.to.2layhid11 0.378166832
## 1layhid16.to.2layhid11 -0.644874430
## 1layhid17.to.2layhid11 0.430549291
## 1layhid18.to.2layhid11 -0.230375701
## 1layhid19.to.2layhid11 1.136438090
## 1layhid20.to.2layhid11 0.512058253
## 1layhid21.to.2layhid11 0.433759314
## 1layhid22.to.2layhid11 -2.555371409
## 1layhid23.to.2layhid11 0.181296857
## 1layhid24.to.2layhid11 0.619348414
## 1layhid25.to.2layhid11 2.216624768
## 1layhid26.to.2layhid11 0.585246128
## 1layhid27.to.2layhid11 -0.372788885
## 1layhid28.to.2layhid11 1.390718940
## 1layhid29.to.2layhid11 -0.613907640
## 1layhid30.to.2layhid11 0.139977028
## Intercept.to.2layhid12 0.071509787
## 1layhid1.to.2layhid12 -1.072118509
## 1layhid2.to.2layhid12 0.666077123
## 1layhid3.to.2layhid12 2.139938922
## 1layhid4.to.2layhid12 -0.468536406
## 1layhid5.to.2layhid12 1.111859419
## 1layhid6.to.2layhid12 3.507318163
## 1layhid7.to.2layhid12 0.517010748
## 1layhid8.to.2layhid12 0.585960267
## 1layhid9.to.2layhid12 -1.118099165
## 1layhid10.to.2layhid12 -0.275541406
## 1layhid11.to.2layhid12 -0.288717253
## 1layhid12.to.2layhid12 0.767341525
## 1layhid13.to.2layhid12 -2.410208780
## 1layhid14.to.2layhid12 -0.415018531
## 1layhid15.to.2layhid12 -0.518994082
## 1layhid16.to.2layhid12 3.113228101
## 1layhid17.to.2layhid12 -0.434970331
## 1layhid18.to.2layhid12 -0.349209081
## 1layhid19.to.2layhid12 -0.610925703
## 1layhid20.to.2layhid12 1.117155675
## 1layhid21.to.2layhid12 0.350084799
## 1layhid22.to.2layhid12 0.701114020
## 1layhid23.to.2layhid12 2.878493046
## 1layhid24.to.2layhid12 -0.474198097
## 1layhid25.to.2layhid12 2.512613911
## 1layhid26.to.2layhid12 0.441168989
## 1layhid27.to.2layhid12 1.116810864
## 1layhid28.to.2layhid12 -0.130211262
## 1layhid29.to.2layhid12 -3.238575743
## 1layhid30.to.2layhid12 -1.357339741
## Intercept.to.2layhid13 1.301535081
## 1layhid1.to.2layhid13 -0.523002017
## 1layhid2.to.2layhid13 -0.794721420
## 1layhid3.to.2layhid13 0.045909970
## 1layhid4.to.2layhid13 1.005803415
## 1layhid5.to.2layhid13 -0.048892586
## 1layhid6.to.2layhid13 -1.308703149
## 1layhid7.to.2layhid13 -1.478998624
## 1layhid8.to.2layhid13 -0.818065084
## 1layhid9.to.2layhid13 1.007200183
## 1layhid10.to.2layhid13 1.170102062
## 1layhid11.to.2layhid13 -0.735683692
## 1layhid12.to.2layhid13 0.886209854
## 1layhid13.to.2layhid13 0.003736929
## 1layhid14.to.2layhid13 0.033924551
## 1layhid15.to.2layhid13 0.755863938
## 1layhid16.to.2layhid13 -1.330508181
## 1layhid17.to.2layhid13 1.413073355
## 1layhid18.to.2layhid13 -0.602545874
## 1layhid19.to.2layhid13 -0.353676972
## 1layhid20.to.2layhid13 -0.977644239
## 1layhid21.to.2layhid13 -0.053746120
## 1layhid22.to.2layhid13 -0.931042996
## 1layhid23.to.2layhid13 -1.587618012
## 1layhid24.to.2layhid13 0.257742835
## 1layhid25.to.2layhid13 0.389163591
## 1layhid26.to.2layhid13 0.587788497
## 1layhid27.to.2layhid13 -0.495106693
## 1layhid28.to.2layhid13 -1.232376780
## 1layhid29.to.2layhid13 0.363824758
## 1layhid30.to.2layhid13 1.402785089
## Intercept.to.2layhid14 0.837963281
## 1layhid1.to.2layhid14 -2.235858709
## 1layhid2.to.2layhid14 -1.462314336
## 1layhid3.to.2layhid14 -1.432488983
## 1layhid4.to.2layhid14 0.846099814
## 1layhid5.to.2layhid14 -1.317096123
## 1layhid6.to.2layhid14 -0.161034038
## 1layhid7.to.2layhid14 -0.321940082
## 1layhid8.to.2layhid14 -0.668645074
## 1layhid9.to.2layhid14 -0.717099463
## 1layhid10.to.2layhid14 0.640002687
## 1layhid11.to.2layhid14 0.220404014
## 1layhid12.to.2layhid14 0.174509837
## 1layhid13.to.2layhid14 1.081818843
## 1layhid14.to.2layhid14 1.213409859
## 1layhid15.to.2layhid14 0.507044756
## 1layhid16.to.2layhid14 -2.603709807
## 1layhid17.to.2layhid14 2.696012540
## 1layhid18.to.2layhid14 -1.017317363
## 1layhid19.to.2layhid14 0.487974742
## 1layhid20.to.2layhid14 0.331499937
## 1layhid21.to.2layhid14 -1.297221548
## 1layhid22.to.2layhid14 -0.271076370
## 1layhid23.to.2layhid14 -0.335587123
## 1layhid24.to.2layhid14 -1.962025599
## 1layhid25.to.2layhid14 0.057344148
## 1layhid26.to.2layhid14 -1.088454557
## 1layhid27.to.2layhid14 0.289435253
## 1layhid28.to.2layhid14 0.386935538
## 1layhid29.to.2layhid14 1.769100898
## 1layhid30.to.2layhid14 0.044167047
## Intercept.to.2layhid15 1.436908446
## 1layhid1.to.2layhid15 -2.638745677
## 1layhid2.to.2layhid15 2.368599141
## 1layhid3.to.2layhid15 0.232049800
## 1layhid4.to.2layhid15 1.771728204
## 1layhid5.to.2layhid15 1.647089990
## 1layhid6.to.2layhid15 0.127181648
## 1layhid7.to.2layhid15 -0.293213364
## 1layhid8.to.2layhid15 -1.493187537
## 1layhid9.to.2layhid15 1.416470388
## 1layhid10.to.2layhid15 -0.146091990
## 1layhid11.to.2layhid15 -0.044550791
## 1layhid12.to.2layhid15 1.307962858
## 1layhid13.to.2layhid15 -0.162357240
## 1layhid14.to.2layhid15 0.359549343
## 1layhid15.to.2layhid15 0.714439415
## 1layhid16.to.2layhid15 0.835543760
## 1layhid17.to.2layhid15 -0.464607718
## 1layhid18.to.2layhid15 0.533397775
## 1layhid19.to.2layhid15 0.351190061
## 1layhid20.to.2layhid15 0.307483161
## 1layhid21.to.2layhid15 -0.009683989
## 1layhid22.to.2layhid15 0.486608648
## 1layhid23.to.2layhid15 -0.238569795
## 1layhid24.to.2layhid15 0.549935300
## 1layhid25.to.2layhid15 -1.076022781
## 1layhid26.to.2layhid15 -0.318238968
## 1layhid27.to.2layhid15 -0.461642406
## 1layhid28.to.2layhid15 -0.570951038
## 1layhid29.to.2layhid15 -0.503391321
## 1layhid30.to.2layhid15 -0.874534296
## Intercept.to.3layhid1 0.072691837
## 2layhid1.to.3layhid1 0.980351675
## 2layhid2.to.3layhid1 -0.153111514
## 2layhid3.to.3layhid1 -0.762001132
## 2layhid4.to.3layhid1 1.384322978
## 2layhid5.to.3layhid1 -1.910023074
## 2layhid6.to.3layhid1 1.182307960
## 2layhid7.to.3layhid1 0.116161773
## 2layhid8.to.3layhid1 0.611564181
## 2layhid9.to.3layhid1 -1.029758352
## 2layhid10.to.3layhid1 -0.949571324
## 2layhid11.to.3layhid1 -0.808512660
## 2layhid12.to.3layhid1 2.255040202
## 2layhid13.to.3layhid1 -0.228298702
## 2layhid14.to.3layhid1 -1.068636832
## 2layhid15.to.3layhid1 2.053126069
## Intercept.to.3layhid2 0.441010340
## 2layhid1.to.3layhid2 0.090038115
## 2layhid2.to.3layhid2 -2.122129651
## 2layhid3.to.3layhid2 -0.022333106
## 2layhid4.to.3layhid2 0.300419763
## 2layhid5.to.3layhid2 -0.390694948
## 2layhid6.to.3layhid2 -0.346603971
## 2layhid7.to.3layhid2 0.254214186
## 2layhid8.to.3layhid2 -2.915351571
## 2layhid9.to.3layhid2 -1.793366025
## 2layhid10.to.3layhid2 0.480518213
## 2layhid11.to.3layhid2 0.702449962
## 2layhid12.to.3layhid2 1.820737433
## 2layhid13.to.3layhid2 -2.827999972
## 2layhid14.to.3layhid2 -1.039285022
## 2layhid15.to.3layhid2 1.517879282
## Intercept.to.3layhid3 -0.687540105
## 2layhid1.to.3layhid3 1.030488132
## 2layhid2.to.3layhid3 -2.664770923
## 2layhid3.to.3layhid3 -3.148307770
## 2layhid4.to.3layhid3 -1.016966432
## 2layhid5.to.3layhid3 -2.082087297
## 2layhid6.to.3layhid3 0.335398277
## 2layhid7.to.3layhid3 1.907992651
## 2layhid8.to.3layhid3 -2.600965315
## 2layhid9.to.3layhid3 0.119615450
## 2layhid10.to.3layhid3 0.925356946
## 2layhid11.to.3layhid3 0.766742785
## 2layhid12.to.3layhid3 -1.067233244
## 2layhid13.to.3layhid3 1.751341439
## 2layhid14.to.3layhid3 0.984396083
## 2layhid15.to.3layhid3 2.253795864
## Intercept.to.3layhid4 0.288997111
## 2layhid1.to.3layhid4 1.176344514
## 2layhid2.to.3layhid4 0.636362111
## 2layhid3.to.3layhid4 -0.616509266
## 2layhid4.to.3layhid4 -0.644470729
## 2layhid5.to.3layhid4 0.612822792
## 2layhid6.to.3layhid4 0.186238445
## 2layhid7.to.3layhid4 0.800168001
## 2layhid8.to.3layhid4 1.484532774
## 2layhid9.to.3layhid4 1.189283336
## 2layhid10.to.3layhid4 -2.242938353
## 2layhid11.to.3layhid4 1.939008050
## 2layhid12.to.3layhid4 -0.901908909
## 2layhid13.to.3layhid4 1.943205988
## 2layhid14.to.3layhid4 -0.824349285
## 2layhid15.to.3layhid4 0.548078133
## Intercept.to.3layhid5 -0.347357382
## 2layhid1.to.3layhid5 0.831364476
## 2layhid2.to.3layhid5 0.708554516
## 2layhid3.to.3layhid5 0.110127288
## 2layhid4.to.3layhid5 -1.324062933
## 2layhid5.to.3layhid5 3.213376134
## 2layhid6.to.3layhid5 -0.996397275
## 2layhid7.to.3layhid5 1.176578200
## 2layhid8.to.3layhid5 0.089577078
## 2layhid9.to.3layhid5 0.212262768
## 2layhid10.to.3layhid5 2.430981034
## 2layhid11.to.3layhid5 -2.658584966
## 2layhid12.to.3layhid5 -0.345013095
## 2layhid13.to.3layhid5 -1.892821242
## 2layhid14.to.3layhid5 -0.465242551
## 2layhid15.to.3layhid5 0.517217043
## Intercept.to.3layhid6 -0.730908354
## 2layhid1.to.3layhid6 -0.814636589
## 2layhid2.to.3layhid6 -0.578796386
## 2layhid3.to.3layhid6 -0.362327058
## 2layhid4.to.3layhid6 -0.609223283
## 2layhid5.to.3layhid6 0.666069306
## 2layhid6.to.3layhid6 0.403048801
## 2layhid7.to.3layhid6 -1.032330836
## 2layhid8.to.3layhid6 -1.029929703
## 2layhid9.to.3layhid6 0.199767749
## 2layhid10.to.3layhid6 -0.381384902
## 2layhid11.to.3layhid6 -1.034937363
## 2layhid12.to.3layhid6 -1.947673623
## 2layhid13.to.3layhid6 4.237071871
## 2layhid14.to.3layhid6 -0.381465647
## 2layhid15.to.3layhid6 1.487400482
## Intercept.to.3layhid7 0.374307605
## 2layhid1.to.3layhid7 -1.302721555
## 2layhid2.to.3layhid7 1.206957649
## 2layhid3.to.3layhid7 0.669121329
## 2layhid4.to.3layhid7 0.650232934
## 2layhid5.to.3layhid7 1.116017427
## 2layhid6.to.3layhid7 -1.004649724
## 2layhid7.to.3layhid7 0.076838283
## 2layhid8.to.3layhid7 2.971777102
## 2layhid9.to.3layhid7 2.867024947
## 2layhid10.to.3layhid7 -0.625378638
## 2layhid11.to.3layhid7 1.080893673
## 2layhid12.to.3layhid7 -2.022084347
## 2layhid13.to.3layhid7 -1.226479891
## 2layhid14.to.3layhid7 1.947615495
## 2layhid15.to.3layhid7 -1.058495705
## Intercept.to.3layhid8 -0.436093974
## 2layhid1.to.3layhid8 0.028069145
## 2layhid2.to.3layhid8 -1.703349470
## 2layhid3.to.3layhid8 0.502043891
## 2layhid4.to.3layhid8 -0.453364947
## 2layhid5.to.3layhid8 1.769762995
## 2layhid6.to.3layhid8 -2.085184769
## 2layhid7.to.3layhid8 -1.027593344
## 2layhid8.to.3layhid8 -2.269647748
## 2layhid9.to.3layhid8 0.320969374
## 2layhid10.to.3layhid8 2.984868697
## 2layhid11.to.3layhid8 -1.872605561
## 2layhid12.to.3layhid8 -1.583194789
## 2layhid13.to.3layhid8 0.241134619
## 2layhid14.to.3layhid8 0.915627055
## 2layhid15.to.3layhid8 0.727319863
## Intercept.to.Basal-like 1.279755960
## 3layhid1.to.Basal-like 0.184606069
## 3layhid2.to.Basal-like -2.545613534
## 3layhid3.to.Basal-like -3.965390024
## 3layhid4.to.Basal-like 0.553311742
## 3layhid5.to.Basal-like -0.703620910
## 3layhid6.to.Basal-like -1.418908247
## 3layhid7.to.Basal-like 1.868592554
## 3layhid8.to.Basal-like -2.919265458
## Intercept.to.HER2-enriched -1.143987912
## 3layhid1.to.HER2-enriched -2.781977171
## 3layhid2.to.HER2-enriched -3.827971339
## 3layhid3.to.HER2-enriched 1.250104285
## 3layhid4.to.HER2-enriched -0.688864771
## 3layhid5.to.HER2-enriched 0.257665937
## 3layhid6.to.HER2-enriched 2.138013486
## 3layhid7.to.HER2-enriched -0.161469750
## 3layhid8.to.HER2-enriched 2.508092309
## Intercept.to.Luminal A -0.967177223
## 3layhid1.to.Luminal A 1.170583201
## 3layhid2.to.Luminal A 1.135225917
## 3layhid3.to.Luminal A 4.005323020
## 3layhid4.to.Luminal A -0.938879158
## 3layhid5.to.Luminal A -3.298513796
## 3layhid6.to.Luminal A -0.004809811
## 3layhid7.to.Luminal A -2.027504000
## 3layhid8.to.Luminal A -1.884114752
## Intercept.to.Luminal B -0.911967508
## 3layhid1.to.Luminal B -0.728982340
## 3layhid2.to.Luminal B 2.453005662
## 3layhid3.to.Luminal B -1.834862596
## 3layhid4.to.Luminal B -1.968399152
## 3layhid5.to.Luminal B 1.309025590
## 3layhid6.to.Luminal B -3.606147025
## 3layhid7.to.Luminal B -1.511510117
## 3layhid8.to.Luminal B 3.210901834neural.network.predicts <- compute(neural.network.mod, test_data) #prediction
neural.network.res = neural.network.predicts$net.result #results of prediction
print(neural.network.res)## [,1] [,2] [,3] [,4]
## 6 0.036907270 0.0073295456 0.9613592279 0.005705886
## 9 0.742473970 0.0968910258 0.0008789811 0.082851551
## 10 0.719065547 0.5102246532 0.0002291823 0.235252800
## 14 0.269423692 0.0218129773 0.8097528495 0.002413882
## 19 0.763400311 0.0704935582 0.0008370741 0.205865887
## 21 0.006958227 0.9729299357 0.0050884436 0.011643144
## 22 0.006092833 0.9745151972 0.0105537397 0.005104087
## 23 0.881074040 0.0932281932 0.0036657466 0.003590610
## 37 0.007281360 0.0059784193 0.9836815960 0.003333242
## 40 0.006582216 0.0045610858 0.9831084755 0.005006926
## 43 0.015947281 0.0008929747 0.9742303382 0.058367067
## 50 0.004634111 0.0059147772 0.9796090867 0.005584340
## 51 0.002769187 0.0044226118 0.9063323465 0.186145085
## 55 0.006569920 0.0067055938 0.9838059814 0.002722012
## 59 0.005341142 0.0078544216 0.0555358678 0.981212050
## 60 0.010610334 0.0082810655 0.0164364091 0.988620930
## 64 0.011816947 0.0014800020 0.9809300875 0.021765844
## 66 0.012943049 0.0085768839 0.0142799653 0.989737529
## 72 0.006304529 0.0498144106 0.0199920123 0.768828109
## 76 0.008967837 0.0100322810 0.0170046842 0.986631664
## 78 0.042848459 0.0156493735 0.0067265696 0.974530510neural.network.res=data.frame("neural.network.res"=ifelse(max.col(neural.network.res[ ,1:4])==1, "Basal-like",
ifelse(max.col(neural.network.res[ ,1:4])==2, "HER2-enriched",
ifelse(max.col(neural.network.res[ ,1:4])==3, "Luminal A", "Luminal B"))))
confusionMatrix(as.factor(test_data$PAM50.mRNA), as.factor(neural.network.res$neural.network.res))## Confusion Matrix and Statistics
##
## Reference
## Prediction Basal-like HER2-enriched Luminal A Luminal B
## Basal-like 3 0 2 0
## HER2-enriched 1 2 0 0
## Luminal A 0 0 6 0
## Luminal B 0 0 1 6
##
## Overall Statistics
##
## Accuracy : 0.8095
## 95% CI : (0.5809, 0.9455)
## No Information Rate : 0.4286
## P-Value [Acc > NIR] : 0.0004208
##
## Kappa : 0.7367
##
## Mcnemar's Test P-Value : NA
##
## Statistics by Class:
##
## Class: Basal-like Class: HER2-enriched Class: Luminal A
## Sensitivity 0.7500 1.00000 0.6667
## Specificity 0.8824 0.94737 1.0000
## Pos Pred Value 0.6000 0.66667 1.0000
## Neg Pred Value 0.9375 1.00000 0.8000
## Prevalence 0.1905 0.09524 0.4286
## Detection Rate 0.1429 0.09524 0.2857
## Detection Prevalence 0.2381 0.14286 0.2857
## Balanced Accuracy 0.8162 0.97368 0.8333
## Class: Luminal B
## Sensitivity 1.0000
## Specificity 0.9333
## Pos Pred Value 0.8571
## Neg Pred Value 1.0000
## Prevalence 0.2857
## Detection Rate 0.2857
## Detection Prevalence 0.3333
## Balanced Accuracy 0.9667PAM50 Data
Data modification, train and test dataset creation for PAM50
###identify PAM50 proteins
pam50 <- genes$RefSeqProteinID
pam50.ind <- which(colnames(data) %in% pam50 )
length(pam50.ind)## [1] 38###dividing the data set into a training data and a test data - 70% to 30%
samp <- createDataPartition(data$PAM50.mRNA, p = 0.7, list = FALSE)
train_data_pam50 <- data[samp, c(21, pam50.ind)]
summary(train_data_pam50)## PAM50.mRNA NP_057427 NP_002408 NP_000415
## Length:59 Min. :-2.7427 Min. :-3.6100 Min. :-7.4072
## Class :character 1st Qu.:-1.0621 1st Qu.:-1.9715 1st Qu.:-4.5258
## Mode :character Median :-0.4092 Median :-0.8404 Median :-3.3542
## Mean :-0.3310 Mean :-0.6633 Mean :-2.5694
## 3rd Qu.: 0.2617 3rd Qu.: 0.3919 3rd Qu.:-0.9787
## Max. : 2.3864 Max. : 3.8587 Max. : 5.6254
## NP_000413 NP_000517 NP_004439 NP_005219
## Min. :-7.9484 Min. :-6.3048 Min. :-5.888 Min. :-5.4356
## 1st Qu.:-4.2649 1st Qu.:-3.7452 1st Qu.:-3.756 1st Qu.:-3.1943
## Median :-3.1184 Median :-2.4679 Median :-2.258 Median :-1.9591
## Mean :-2.5716 Mean :-1.8345 Mean :-1.468 Mean :-1.6950
## 3rd Qu.:-0.6372 3rd Qu.:-0.4118 3rd Qu.:-1.027 3rd Qu.:-0.4182
## Max. : 5.7383 Max. : 5.5196 Max. : 9.668 Max. : 7.1587
## NP_058519 NP_058518 NP_001116539 NP_061155
## Min. :-9.114 Min. :-8.762 Min. :-9.573 Min. :-5.7241
## 1st Qu.:-5.468 1st Qu.:-5.245 1st Qu.:-5.507 1st Qu.:-2.0541
## Median :-2.984 Median :-2.938 Median :-2.939 Median :-0.8508
## Mean :-2.266 Mean :-2.292 Mean :-2.318 Mean :-0.5507
## 3rd Qu.: 1.409 3rd Qu.: 1.153 3rd Qu.: 1.587 3rd Qu.: 1.1712
## Max. : 5.073 Max. : 5.138 Max. : 5.115 Max. : 3.4804
## NP_001035932 NP_077006 NP_000917 NP_065178
## Min. :-5.5674 Min. :-5.5674 Min. :-9.2227 Min. :-2.4680
## 1st Qu.:-1.7586 1st Qu.:-1.7572 1st Qu.:-5.5573 1st Qu.:-0.1342
## Median :-0.5153 Median :-0.5153 Median :-2.3640 Median : 0.5137
## Mean :-0.6614 Mean :-0.6652 Mean :-2.1105 Mean : 0.4605
## 3rd Qu.: 0.5883 3rd Qu.: 0.5449 3rd Qu.: 0.4697 3rd Qu.: 1.1741
## Max. : 4.0968 Max. : 4.1044 Max. : 5.6887 Max. : 2.2619
## NP_006836 NP_006614 NP_001784 NP_006092
## Min. :-2.6222 Min. :-5.3276 Min. :-4.5650 Min. :-3.4802
## 1st Qu.:-1.1826 1st Qu.:-2.1521 1st Qu.:-1.7297 1st Qu.:-1.4429
## Median :-0.4593 Median :-0.9030 Median :-0.3907 Median :-0.2571
## Mean :-0.3229 Mean :-0.6382 Mean :-0.2317 Mean :-0.2557
## 3rd Qu.: 0.4299 3rd Qu.: 1.2996 3rd Qu.: 1.2856 3rd Qu.: 0.5431
## Max. : 3.2643 Max. : 4.3353 Max. : 4.8474 Max. : 3.7730
## NP_001153651 NP_001159403 NP_000116 NP_004314
## Min. :-8.8672 Min. :-3.7796 Min. :-6.3326 Min. :-3.6052
## 1st Qu.:-4.9175 1st Qu.:-1.9218 1st Qu.:-3.7929 1st Qu.:-1.2561
## Median :-2.7665 Median :-0.8040 Median :-1.7839 Median :-0.4880
## Mean :-1.9182 Mean :-0.7695 Mean :-1.3705 Mean :-0.3145
## 3rd Qu.: 0.5029 3rd Qu.: 0.3589 3rd Qu.: 0.8484 3rd Qu.: 0.1893
## Max. : 8.4037 Max. : 2.1838 Max. : 4.2341 Max. : 5.5543
## NP_060601 NP_005931 NP_003003 NP_113611
## Min. :-7.0215 Min. :-4.2455 Min. :-5.5571 Min. :-4.52275
## 1st Qu.:-1.5301 1st Qu.:-1.9515 1st Qu.:-2.6954 1st Qu.:-1.30625
## Median :-0.3791 Median :-0.2756 Median :-0.9403 Median :-0.05940
## Mean :-0.7287 Mean :-0.3997 Mean :-0.4989 Mean :-0.04709
## 3rd Qu.: 0.2639 3rd Qu.: 1.1544 3rd Qu.: 1.1164 3rd Qu.: 0.93250
## Max. : 3.1263 Max. : 3.2698 Max. : 7.6242 Max. : 5.01201
## NP_002002 NP_004487 NP_008950 NP_114172
## Min. :-4.5618 Min. :-6.26924 Min. :-3.7523 Min. :-3.8604
## 1st Qu.:-1.1797 1st Qu.:-1.52702 1st Qu.:-1.9999 1st Qu.:-1.3816
## Median : 0.4004 Median :-0.06574 Median :-0.7266 Median :-0.4772
## Mean : 0.3232 Mean :-0.58952 Mean :-0.4950 Mean :-0.4398
## 3rd Qu.: 1.7331 3rd Qu.: 1.16312 3rd Qu.: 0.7634 3rd Qu.: 0.7879
## Max. : 7.7572 Max. : 2.31641 Max. : 3.5872 Max. : 2.7819
## NP_001062 NP_057547 NP_054895 NP_001246
## Min. :-4.7715 Min. :-7.0507 Min. :-4.1046 Min. :-6.2690
## 1st Qu.:-1.1492 1st Qu.:-1.7083 1st Qu.:-1.4778 1st Qu.:-1.4206
## Median :-0.1533 Median :-0.5469 Median :-0.3265 Median :-0.5990
## Mean :-0.1275 Mean :-0.6493 Mean :-0.3387 Mean :-0.5480
## 3rd Qu.: 0.5472 3rd Qu.: 0.5915 3rd Qu.: 0.7214 3rd Qu.: 0.5243
## Max. : 6.8368 Max. : 3.0054 Max. : 3.5856 Max. : 3.1777
## NP_036451 NP_000624 NP_001159
## Min. :-7.4404 Min. :-4.2507 Min. :-3.7622
## 1st Qu.:-0.6950 1st Qu.:-1.3670 1st Qu.:-0.9048
## Median :-0.3568 Median :-0.4348 Median :-0.2071
## Mean :-0.3812 Mean :-0.4526 Mean :-0.2972
## 3rd Qu.: 0.5001 3rd Qu.: 0.2756 3rd Qu.: 0.4856
## Max. : 3.9889 Max. : 3.4637 Max. : 3.4871test_data_pam50 <- data[-samp, c(21, pam50.ind)]
summary(test_data_pam50)## PAM50.mRNA NP_057427 NP_002408 NP_000415
## Length:21 Min. :-2.885329 Min. :-4.62044 Min. :-7.450
## Class :character 1st Qu.:-1.015602 1st Qu.:-1.58847 1st Qu.:-3.886
## Mode :character Median : 0.106156 Median :-0.05965 Median :-2.639
## Mean : 0.001505 Mean :-0.52519 Mean :-1.813
## 3rd Qu.: 0.983817 3rd Qu.: 0.47376 3rd Qu.:-0.332
## Max. : 2.430691 Max. : 1.88384 Max. : 5.543
## NP_000413 NP_000517 NP_004439 NP_005219
## Min. :-5.727 Min. :-5.1394 Min. :-4.805 Min. :-5.2932
## 1st Qu.:-4.189 1st Qu.:-2.6247 1st Qu.:-3.937 1st Qu.:-3.1028
## Median :-1.977 Median :-0.6412 Median :-2.766 Median :-2.1811
## Mean :-1.318 Mean :-1.1109 Mean :-2.197 Mean :-1.9284
## 3rd Qu.: 0.498 3rd Qu.: 0.4757 3rd Qu.:-2.063 3rd Qu.:-0.7786
## Max. : 6.038 Max. : 3.2908 Max. : 5.636 Max. : 1.2458
## NP_058519 NP_058518 NP_001116539 NP_061155
## Min. :-8.832 Min. :-8.882 Min. :-8.882 Min. :-3.5251
## 1st Qu.:-4.457 1st Qu.:-4.665 1st Qu.:-4.665 1st Qu.:-0.9938
## Median :-1.528 Median :-1.525 Median :-1.508 Median : 0.4276
## Mean :-1.863 Mean :-1.907 Mean :-1.882 Mean :-0.1099
## 3rd Qu.: 1.543 3rd Qu.: 1.513 3rd Qu.: 1.578 3rd Qu.: 1.0702
## Max. : 3.651 Max. : 3.346 Max. : 3.432 Max. : 3.1565
## NP_001035932 NP_077006 NP_000917 NP_065178
## Min. :-5.4157 Min. :-5.4157 Min. :-9.5520 Min. :-1.0216
## 1st Qu.:-1.6690 1st Qu.:-1.6690 1st Qu.:-4.4119 1st Qu.:-0.3056
## Median :-0.9098 Median :-0.9098 Median :-1.5420 Median : 0.3020
## Mean :-0.5612 Mean :-0.5661 Mean :-1.9368 Mean : 0.3318
## 3rd Qu.: 1.2931 3rd Qu.: 1.2931 3rd Qu.: 0.5276 3rd Qu.: 0.7599
## Max. : 3.5975 Max. : 3.5975 Max. : 4.5882 Max. : 2.2902
## NP_006836 NP_006614 NP_001784 NP_006092
## Min. :-3.00874 Min. :-4.0923 Min. :-3.6718 Min. :-3.390196
## 1st Qu.:-0.82783 1st Qu.:-2.4565 1st Qu.:-1.0180 1st Qu.:-1.305743
## Median : 0.10203 Median :-0.3891 Median :-0.1956 Median : 0.434143
## Mean : 0.07189 Mean :-0.1886 Mean :-0.1125 Mean :-0.000487
## 3rd Qu.: 1.11830 3rd Qu.: 1.6648 3rd Qu.: 0.4793 3rd Qu.: 1.326765
## Max. : 2.69451 Max. : 4.7633 Max. : 4.4598 Max. : 2.262509
## NP_001153651 NP_001159403 NP_000116 NP_004314
## Min. :-8.524 Min. :-4.35843 Min. :-7.5031 Min. :-2.92298
## 1st Qu.:-3.719 1st Qu.:-1.25515 1st Qu.:-2.8750 1st Qu.:-0.79335
## Median :-2.174 Median : 0.04056 Median :-2.2516 Median : 0.01349
## Mean :-1.074 Mean :-0.32518 Mean :-1.8147 Mean : 0.14324
## 3rd Qu.: 2.243 3rd Qu.: 0.70600 3rd Qu.:-0.6479 3rd Qu.: 0.60530
## Max. : 7.995 Max. : 2.54187 Max. : 3.8025 Max. : 4.01700
## NP_060601 NP_005931 NP_003003 NP_113611
## Min. :-5.43473 Min. :-5.00931 Min. :-5.79375 Min. :-3.10627
## 1st Qu.:-0.70069 1st Qu.:-1.73413 1st Qu.:-2.12534 1st Qu.:-0.87624
## Median : 0.07337 Median :-0.09767 Median :-0.74989 Median :-0.05761
## Mean :-0.30385 Mean :-0.31708 Mean :-0.01564 Mean :-0.09401
## 3rd Qu.: 0.59385 3rd Qu.: 1.11620 3rd Qu.: 1.86016 3rd Qu.: 0.62438
## Max. : 1.78540 Max. : 2.68809 Max. : 5.81959 Max. : 1.69079
## NP_002002 NP_004487 NP_008950 NP_114172
## Min. :-5.4015 Min. :-5.9274 Min. :-3.6807 Min. :-3.4821
## 1st Qu.: 0.2637 1st Qu.:-1.5020 1st Qu.:-1.6107 1st Qu.:-0.6115
## Median : 0.8048 Median :-0.5960 Median :-0.2357 Median : 0.8076
## Mean : 0.5949 Mean :-0.8712 Mean :-0.2956 Mean : 0.6668
## 3rd Qu.: 1.6431 3rd Qu.: 0.3517 3rd Qu.: 1.0168 3rd Qu.: 2.0369
## Max. : 4.1908 Max. : 2.6384 Max. : 3.8223 Max. : 3.8669
## NP_001062 NP_057547 NP_054895 NP_001246
## Min. :-3.415692 Min. :-3.3294 Min. :-4.0080 Min. :-5.4615
## 1st Qu.:-1.531180 1st Qu.:-2.1554 1st Qu.:-1.3340 1st Qu.:-1.4781
## Median :-0.171475 Median :-0.5776 Median : 0.4074 Median :-0.6077
## Mean : 0.008234 Mean :-0.3894 Mean :-0.1420 Mean :-0.7422
## 3rd Qu.: 1.158657 3rd Qu.: 1.1069 3rd Qu.: 0.7949 3rd Qu.: 0.7382
## Max. : 5.492034 Max. : 2.8501 Max. : 1.9232 Max. : 2.9358
## NP_036451 NP_000624 NP_001159
## Min. :-4.40333 Min. :-3.4304 Min. :-3.45513
## 1st Qu.:-1.46064 1st Qu.:-0.9684 1st Qu.:-0.57890
## Median :-0.35678 Median :-0.4348 Median :-0.06175
## Mean :-0.03066 Mean :-0.7007 Mean : 0.04626
## 3rd Qu.: 1.93989 3rd Qu.:-0.2954 3rd Qu.: 0.99785
## Max. : 4.26719 Max. : 1.1830 Max. : 2.27240###test and train data barplot
train_data_pam50.plot <- train_data_pam50
train_data_pam50.plot$data <- "train_data_pam50"
test_data_pam50.plot <- test_data_pam50
test_data_pam50.plot$data <- "test_data_pam50"
train_data_pam50.plot <- t(train_data_pam50.plot)
test_data_pam50.plot <- t(test_data_pam50.plot)
data_pam50.plot <- cbind.data.frame(train_data_pam50.plot,test_data_pam50.plot)
data_pam50.plot <- t(data_pam50.plot)
data_pam50.plot <- as.data.frame(data_pam50.plot)
ggplot(data.plot, aes(x=PAM50.mRNA, fill=data)) + geom_bar() + ggtitle("train_data (0.7) and test_data (0.3) for PAM50 proteins")
###boxplots for PAM50 proteins
data_pam50 <- rbind(train_data_pam50,test_data_pam50)
data_protein <- data_pam50[,2:length(data_pam50)]
plot_protein <- colnames(data_protein)
plot_list <- list()
for (i in seq_along(plot_protein)){
plot_list[[length(plot_list)+1]] <- ggplot(data_pam50, aes_string("PAM50.mRNA", plot_protein[i], col="PAM50.mRNA", fill="PAM50.mRNA")) +
geom_boxplot(alpha=0.3) + theme(axis.title.x=element_blank(), axis.text.x=element_blank(), axis.ticks.x=element_blank())
}
plot_grid(plotlist = plot_list,ncol = 1, nrow = 1) #only one (in the BC_analysis you'll find the code for all)
###violin plots for PAM50 proteins
plot_protein <- colnames(data_protein)
plot_list <- list()
for (i in seq_along(plot_protein)){
plot_list[[length(plot_list)+1]] <- ggplot(data, aes_string("PAM50.mRNA", plot_protein[i], col="PAM50.mRNA", fill="PAM50.mRNA")) +
geom_violin(alpha=0.3) + geom_boxplot(width=0.1) + theme(axis.title.x=element_blank(), axis.text.x=element_blank(), axis.ticks.x=element_blank())
}
plot_grid(plotlist = plot_list,ncol = 1, nrow = 1) #only one (in the BC_analysis you'll find the code for all)
Models Building
For the PAM50 data I created the same models like for data obtained by lasso regression.
Support-Vector Machine
set.seed(1)
train_control_pam50 <- trainControl(method="repeatedcv",
number=3,
repeats=10,
savePredictions = TRUE,
summaryFunction = multiClassSummary) #settng up train control for cross validation and calibration of hyperparameter
grid <- expand.grid(C = seq(0.000001,0.15,0.002)) #Tunegrid for different values of C
set.seed(1)
svm.lin.mod_pam50 <- train(PAM50.mRNA ~ .,
data=train_data_pam50,
trControl=train_control_pam50,
method="svmLinear",
preProcess = c("center","scale"),
tuneGrid =grid,
tuneLength = 10) #training
svm.predicts_pam50 <- predict(svm.lin.mod_pam50,
newdata = test_data_pam50) #predictions on test set
confusionMatrix(svm.predicts_pam50, as.factor(test_data_pam50$PAM50.mRNA)) # confusion matrix## Confusion Matrix and Statistics
##
## Reference
## Prediction Basal-like HER2-enriched Luminal A Luminal B
## Basal-like 4 0 1 0
## HER2-enriched 0 2 0 0
## Luminal A 1 0 3 1
## Luminal B 0 1 2 6
##
## Overall Statistics
##
## Accuracy : 0.7143
## 95% CI : (0.4782, 0.8872)
## No Information Rate : 0.3333
## P-Value [Acc > NIR] : 0.0004045
##
## Kappa : 0.6025
##
## Mcnemar's Test P-Value : NA
##
## Statistics by Class:
##
## Class: Basal-like Class: HER2-enriched Class: Luminal A
## Sensitivity 0.8000 0.66667 0.5000
## Specificity 0.9375 1.00000 0.8667
## Pos Pred Value 0.8000 1.00000 0.6000
## Neg Pred Value 0.9375 0.94737 0.8125
## Prevalence 0.2381 0.14286 0.2857
## Detection Rate 0.1905 0.09524 0.1429
## Detection Prevalence 0.2381 0.09524 0.2381
## Balanced Accuracy 0.8688 0.83333 0.6833
## Class: Luminal B
## Sensitivity 0.8571
## Specificity 0.7857
## Pos Pred Value 0.6667
## Neg Pred Value 0.9167
## Prevalence 0.3333
## Detection Rate 0.2857
## Detection Prevalence 0.4286
## Balanced Accuracy 0.8214Random Forest
set.seed(1)
random.forest.mod_pam50 <- randomForest(as.factor(PAM50.mRNA) ~ .,
data=train_data_pam50,
ntree = 500,
mtry = 8,
importance = TRUE) #training
plot(random.forest.mod_pam50)
random.forest.predicts_pam50 <- predict(random.forest.mod_pam50,
newdata=test_data_pam50,
type = "class") #prediction
confusionMatrix(random.forest.predicts_pam50, as.factor(test_data_pam50$PAM50.mRNA)) #confusion matrix## Confusion Matrix and Statistics
##
## Reference
## Prediction Basal-like HER2-enriched Luminal A Luminal B
## Basal-like 3 0 1 0
## HER2-enriched 1 2 0 0
## Luminal A 1 0 3 1
## Luminal B 0 1 2 6
##
## Overall Statistics
##
## Accuracy : 0.6667
## 95% CI : (0.4303, 0.8541)
## No Information Rate : 0.3333
## P-Value [Acc > NIR] : 0.001827
##
## Kappa : 0.5392
##
## Mcnemar's Test P-Value : NA
##
## Statistics by Class:
##
## Class: Basal-like Class: HER2-enriched Class: Luminal A
## Sensitivity 0.6000 0.66667 0.5000
## Specificity 0.9375 0.94444 0.8667
## Pos Pred Value 0.7500 0.66667 0.6000
## Neg Pred Value 0.8824 0.94444 0.8125
## Prevalence 0.2381 0.14286 0.2857
## Detection Rate 0.1429 0.09524 0.1429
## Detection Prevalence 0.1905 0.14286 0.2381
## Balanced Accuracy 0.7688 0.80556 0.6833
## Class: Luminal B
## Sensitivity 0.8571
## Specificity 0.7857
## Pos Pred Value 0.6667
## Neg Pred Value 0.9167
## Prevalence 0.3333
## Detection Rate 0.2857
## Detection Prevalence 0.4286
## Balanced Accuracy 0.8214###Neural Network Classifier
neural.network.mod_pam50 <-neuralnet(as.factor(PAM50.mRNA) ~ .,
data=train_data_pam50,
hidden = c(30, 15, 8),
linear.output = FALSE,
act.fct = "logistic",
algorithm = 'sag')
plot(neural.network.mod_pam50,
intercept = F,
rep = 'best',
col.hidden = 'darkblue',
col.hidden.synapse = 'black',
show.weights = F,
fill = 'lightblue',
col.intercept = 'red',
fontsize = 8,
dimension = 15)
neural.network.mod_pam50$result.matrix #errors for model## [,1]
## error 0.0157458185
## reached.threshold 0.0075826632
## steps 30.0000000000
## Intercept.to.1layhid1 2.2711700284
## NP_057427.to.1layhid1 1.2222666266
## NP_002408.to.1layhid1 -1.4422921597
## NP_000415.to.1layhid1 1.3174189925
## NP_000413.to.1layhid1 -0.9337608391
## NP_000517.to.1layhid1 -1.0549317586
## NP_004439.to.1layhid1 -0.0687321781
## NP_005219.to.1layhid1 -1.8260478418
## NP_058519.to.1layhid1 1.3472872517
## NP_058518.to.1layhid1 2.4902391679
## NP_001116539.to.1layhid1 0.5181219400
## NP_061155.to.1layhid1 -0.3788395367
## NP_001035932.to.1layhid1 0.5807250700
## NP_077006.to.1layhid1 1.4538860754
## NP_000917.to.1layhid1 -0.7566860342
## NP_065178.to.1layhid1 0.0022809279
## NP_006836.to.1layhid1 0.3516447921
## NP_006614.to.1layhid1 -0.3375509717
## NP_001784.to.1layhid1 0.4000039339
## NP_006092.to.1layhid1 -1.3444814735
## NP_001153651.to.1layhid1 -1.3257465873
## NP_001159403.to.1layhid1 1.4287100744
## NP_000116.to.1layhid1 0.8460556360
## NP_004314.to.1layhid1 1.3580589499
## NP_060601.to.1layhid1 -0.0116089422
## NP_005931.to.1layhid1 2.4492027488
## NP_003003.to.1layhid1 0.9604427393
## NP_113611.to.1layhid1 -0.5153027342
## NP_002002.to.1layhid1 -0.0673333398
## NP_004487.to.1layhid1 -0.4015511751
## NP_008950.to.1layhid1 1.2008601801
## NP_114172.to.1layhid1 -0.7171655936
## NP_001062.to.1layhid1 0.6061144549
## NP_057547.to.1layhid1 -0.5410460109
## NP_054895.to.1layhid1 -1.2658825303
## NP_001246.to.1layhid1 -0.8607622148
## NP_036451.to.1layhid1 0.7111418973
## NP_000624.to.1layhid1 0.5925684592
## NP_001159.to.1layhid1 -0.0281577377
## Intercept.to.1layhid2 -0.2257338045
## NP_057427.to.1layhid2 -0.1484029455
## NP_002408.to.1layhid2 -1.4421199108
## NP_000415.to.1layhid2 -0.7403549051
## NP_000413.to.1layhid2 -0.8625422068
## NP_000517.to.1layhid2 -0.4947315008
## NP_004439.to.1layhid2 0.5095585701
## NP_005219.to.1layhid2 -1.5026134558
## NP_058519.to.1layhid2 -0.1159293040
## NP_058518.to.1layhid2 0.0277516652
## NP_001116539.to.1layhid2 -0.9128659885
## NP_061155.to.1layhid2 -0.0551891308
## NP_001035932.to.1layhid2 0.4934606022
## NP_077006.to.1layhid2 0.8569062168
## NP_000917.to.1layhid2 0.2468541031
## NP_065178.to.1layhid2 -0.7434130514
## NP_006836.to.1layhid2 0.7024928911
## NP_006614.to.1layhid2 -1.2432283098
## NP_001784.to.1layhid2 0.4703466369
## NP_006092.to.1layhid2 -0.5275990024
## NP_001153651.to.1layhid2 1.0891849762
## NP_001159403.to.1layhid2 -0.7275537405
## NP_000116.to.1layhid2 -0.1266320620
## NP_004314.to.1layhid2 0.0907649808
## NP_060601.to.1layhid2 0.2733898249
## NP_005931.to.1layhid2 -1.2082019453
## NP_003003.to.1layhid2 -3.5240971405
## NP_113611.to.1layhid2 -0.9153653753
## NP_002002.to.1layhid2 -0.2471860130
## NP_004487.to.1layhid2 0.2828275108
## NP_008950.to.1layhid2 0.8657332301
## NP_114172.to.1layhid2 -0.5576143360
## NP_001062.to.1layhid2 -1.4801214328
## NP_057547.to.1layhid2 -0.0259008501
## NP_054895.to.1layhid2 0.6275070016
## NP_001246.to.1layhid2 -0.1475513806
## NP_036451.to.1layhid2 -0.2488208797
## NP_000624.to.1layhid2 -2.0448019785
## NP_001159.to.1layhid2 0.9100781022
## Intercept.to.1layhid3 -0.7718871237
## NP_057427.to.1layhid3 -0.0266089161
## NP_002408.to.1layhid3 -1.1422367305
## NP_000415.to.1layhid3 0.7927109371
## NP_000413.to.1layhid3 -0.6092097640
## NP_000517.to.1layhid3 0.0644733912
## NP_004439.to.1layhid3 1.0778550144
## NP_005219.to.1layhid3 0.2832818129
## NP_058519.to.1layhid3 -1.2916889378
## NP_058518.to.1layhid3 2.0609851321
## NP_001116539.to.1layhid3 0.9545429920
## NP_061155.to.1layhid3 1.1782597228
## NP_001035932.to.1layhid3 -0.1144297061
## NP_077006.to.1layhid3 0.0958158845
## NP_000917.to.1layhid3 0.5770951538
## NP_065178.to.1layhid3 -1.0848854561
## NP_006836.to.1layhid3 -0.1304534436
## NP_006614.to.1layhid3 3.1929037856
## NP_001784.to.1layhid3 -1.6450623217
## NP_006092.to.1layhid3 0.7022726636
## NP_001153651.to.1layhid3 -0.6525769323
## NP_001159403.to.1layhid3 1.1688036522
## NP_000116.to.1layhid3 0.9714735057
## NP_004314.to.1layhid3 -0.0053734760
## NP_060601.to.1layhid3 -0.5500151844
## NP_005931.to.1layhid3 1.0517372002
## NP_003003.to.1layhid3 -1.7820467351
## NP_113611.to.1layhid3 -0.0668827610
## NP_002002.to.1layhid3 0.6428635402
## NP_004487.to.1layhid3 1.5671743317
## NP_008950.to.1layhid3 1.5030883232
## NP_114172.to.1layhid3 0.8605339969
## NP_001062.to.1layhid3 2.4362618668
## NP_057547.to.1layhid3 -0.6159112081
## NP_054895.to.1layhid3 1.8123405249
## NP_001246.to.1layhid3 0.4795174806
## NP_036451.to.1layhid3 0.4355233426
## NP_000624.to.1layhid3 -0.6819009085
## NP_001159.to.1layhid3 -1.0694069076
## Intercept.to.1layhid4 1.7540656292
## NP_057427.to.1layhid4 -0.3777529275
## NP_002408.to.1layhid4 -0.6039163756
## NP_000415.to.1layhid4 1.5231761378
## NP_000413.to.1layhid4 -0.0024049181
## NP_000517.to.1layhid4 0.0987706384
## NP_004439.to.1layhid4 0.7338364303
## NP_005219.to.1layhid4 1.0455370882
## NP_058519.to.1layhid4 -1.7461641169
## NP_058518.to.1layhid4 2.4505506720
## NP_001116539.to.1layhid4 -0.4519236614
## NP_061155.to.1layhid4 0.4005034325
## NP_001035932.to.1layhid4 0.4472421389
## NP_077006.to.1layhid4 0.1799411966
## NP_000917.to.1layhid4 -0.0087091528
## NP_065178.to.1layhid4 -0.6054188819
## NP_006836.to.1layhid4 -0.2464331078
## NP_006614.to.1layhid4 0.0152382926
## NP_001784.to.1layhid4 0.1274374229
## NP_006092.to.1layhid4 -0.9524170960
## NP_001153651.to.1layhid4 0.5413894125
## NP_001159403.to.1layhid4 -0.8677237342
## NP_000116.to.1layhid4 -0.9374891932
## NP_004314.to.1layhid4 0.3264878347
## NP_060601.to.1layhid4 -2.5209870308
## NP_005931.to.1layhid4 -0.6916061426
## NP_003003.to.1layhid4 -1.3689335482
## NP_113611.to.1layhid4 -0.9986406591
## NP_002002.to.1layhid4 1.6630354171
## NP_004487.to.1layhid4 -0.9811668986
## NP_008950.to.1layhid4 -1.3384134680
## NP_114172.to.1layhid4 -0.4228535282
## NP_001062.to.1layhid4 -2.8102602654
## NP_057547.to.1layhid4 1.1653855696
## NP_054895.to.1layhid4 0.5049102046
## NP_001246.to.1layhid4 -0.2282656577
## NP_036451.to.1layhid4 -0.8451617378
## NP_000624.to.1layhid4 -0.4165471811
## NP_001159.to.1layhid4 -1.3540666597
## Intercept.to.1layhid5 0.6133346750
## NP_057427.to.1layhid5 -1.7782832408
## NP_002408.to.1layhid5 2.3425369327
## NP_000415.to.1layhid5 -0.0314440396
## NP_000413.to.1layhid5 -0.1415141529
## NP_000517.to.1layhid5 -1.1230884066
## NP_004439.to.1layhid5 0.0101970680
## NP_005219.to.1layhid5 2.6143215133
## NP_058519.to.1layhid5 -1.0443471149
## NP_058518.to.1layhid5 0.6475247795
## NP_001116539.to.1layhid5 0.6162181476
## NP_061155.to.1layhid5 -0.2279475616
## NP_001035932.to.1layhid5 -0.3610340278
## NP_077006.to.1layhid5 -1.6184224188
## NP_000917.to.1layhid5 -0.7144926930
## NP_065178.to.1layhid5 1.1704863516
## NP_006836.to.1layhid5 -0.4395870160
## NP_006614.to.1layhid5 1.1957918509
## NP_001784.to.1layhid5 -0.6366817296
## NP_006092.to.1layhid5 1.1026635415
## NP_001153651.to.1layhid5 -0.5202641771
## NP_001159403.to.1layhid5 -0.8509475102
## NP_000116.to.1layhid5 -0.9027227910
## NP_004314.to.1layhid5 2.2105240022
## NP_060601.to.1layhid5 -1.0659805062
## NP_005931.to.1layhid5 1.2156751026
## NP_003003.to.1layhid5 0.1643094834
## NP_113611.to.1layhid5 -1.2581257632
## NP_002002.to.1layhid5 -0.9372373665
## NP_004487.to.1layhid5 -1.4239346733
## NP_008950.to.1layhid5 -0.9515098074
## NP_114172.to.1layhid5 1.0192877238
## NP_001062.to.1layhid5 -0.8764318050
## NP_057547.to.1layhid5 -0.1283885313
## NP_054895.to.1layhid5 -0.1763489472
## NP_001246.to.1layhid5 -0.6980680098
## NP_036451.to.1layhid5 1.0956854288
## NP_000624.to.1layhid5 0.5278810945
## NP_001159.to.1layhid5 1.2579470984
## Intercept.to.1layhid6 1.2038868386
## NP_057427.to.1layhid6 -1.1382591163
## NP_002408.to.1layhid6 -1.3076179807
## NP_000415.to.1layhid6 0.2617747120
## NP_000413.to.1layhid6 -0.2432212192
## NP_000517.to.1layhid6 -1.1683974684
## NP_004439.to.1layhid6 -0.7849272793
## NP_005219.to.1layhid6 1.7116300834
## NP_058519.to.1layhid6 -1.3099748133
## NP_058518.to.1layhid6 -0.6311863414
## NP_001116539.to.1layhid6 -0.9867369981
## NP_061155.to.1layhid6 -0.1664382758
## NP_001035932.to.1layhid6 1.9304629775
## NP_077006.to.1layhid6 0.5107457342
## NP_000917.to.1layhid6 0.2313834463
## NP_065178.to.1layhid6 -0.3056453938
## NP_006836.to.1layhid6 -0.4998757167
## NP_006614.to.1layhid6 0.5538436606
## NP_001784.to.1layhid6 -0.3396787574
## NP_006092.to.1layhid6 -1.1839620831
## NP_001153651.to.1layhid6 -0.3773506975
## NP_001159403.to.1layhid6 0.7442378720
## NP_000116.to.1layhid6 -0.0511936939
## NP_004314.to.1layhid6 0.3115385182
## NP_060601.to.1layhid6 -3.1044838952
## NP_005931.to.1layhid6 -2.0886814145
## NP_003003.to.1layhid6 -1.1614503002
## NP_113611.to.1layhid6 -0.0364646666
## NP_002002.to.1layhid6 -0.0290877739
## NP_004487.to.1layhid6 -0.1008113696
## NP_008950.to.1layhid6 0.6033015134
## NP_114172.to.1layhid6 1.0484122438
## NP_001062.to.1layhid6 0.3280714135
## NP_057547.to.1layhid6 -0.4261290144
## NP_054895.to.1layhid6 -0.8047088349
## NP_001246.to.1layhid6 -0.9428577316
## NP_036451.to.1layhid6 0.6283280135
## NP_000624.to.1layhid6 1.0932703498
## NP_001159.to.1layhid6 -3.2830722546
## Intercept.to.1layhid7 -1.0757451426
## NP_057427.to.1layhid7 0.0835728816
## NP_002408.to.1layhid7 -2.5173956589
## NP_000415.to.1layhid7 -0.1203948521
## NP_000413.to.1layhid7 -0.4095201592
## NP_000517.to.1layhid7 0.3194933243
## NP_004439.to.1layhid7 0.6012744687
## NP_005219.to.1layhid7 -0.0745515079
## NP_058519.to.1layhid7 -0.7886852371
## NP_058518.to.1layhid7 1.2794040059
## NP_001116539.to.1layhid7 2.4802170210
## NP_061155.to.1layhid7 -0.6604106317
## NP_001035932.to.1layhid7 -0.1053865349
## NP_077006.to.1layhid7 0.5283416167
## NP_000917.to.1layhid7 0.2924208814
## NP_065178.to.1layhid7 0.2143373243
## NP_006836.to.1layhid7 -0.8267811255
## NP_006614.to.1layhid7 -0.5473013088
## NP_001784.to.1layhid7 1.8326558627
## NP_006092.to.1layhid7 0.4812659769
## NP_001153651.to.1layhid7 0.7810123204
## NP_001159403.to.1layhid7 -1.4978562598
## NP_000116.to.1layhid7 -3.3252018154
## NP_004314.to.1layhid7 1.0054219095
## NP_060601.to.1layhid7 -0.3306661427
## NP_005931.to.1layhid7 0.5812623170
## NP_003003.to.1layhid7 0.2638388659
## NP_113611.to.1layhid7 -2.6043238145
## NP_002002.to.1layhid7 -0.5353211357
## NP_004487.to.1layhid7 2.3572789744
## NP_008950.to.1layhid7 0.4476646073
## NP_114172.to.1layhid7 0.6243629199
## NP_001062.to.1layhid7 -1.2140858328
## NP_057547.to.1layhid7 2.5640440871
## NP_054895.to.1layhid7 0.7164874014
## NP_001246.to.1layhid7 0.6024743868
## NP_036451.to.1layhid7 2.8187125850
## NP_000624.to.1layhid7 0.9945456566
## NP_001159.to.1layhid7 -0.8105181337
## Intercept.to.1layhid8 0.0552873087
## NP_057427.to.1layhid8 -1.5427253222
## NP_002408.to.1layhid8 0.3738872617
## NP_000415.to.1layhid8 0.5905895380
## NP_000413.to.1layhid8 1.0069745325
## NP_000517.to.1layhid8 -0.7657748783
## NP_004439.to.1layhid8 1.1092723570
## NP_005219.to.1layhid8 -1.2490553034
## NP_058519.to.1layhid8 1.6237804861
## NP_058518.to.1layhid8 0.4761185127
## NP_001116539.to.1layhid8 1.4394501947
## NP_061155.to.1layhid8 -0.2491608283
## NP_001035932.to.1layhid8 -0.8951637977
## NP_077006.to.1layhid8 2.1015734788
## NP_000917.to.1layhid8 1.4569038575
## NP_065178.to.1layhid8 0.9784200214
## NP_006836.to.1layhid8 1.9588204828
## NP_006614.to.1layhid8 0.3064052294
## NP_001784.to.1layhid8 1.3520675715
## NP_006092.to.1layhid8 -0.5722046756
## NP_001153651.to.1layhid8 1.0191381294
## NP_001159403.to.1layhid8 -2.2272945981
## NP_000116.to.1layhid8 0.7817457193
## NP_004314.to.1layhid8 1.7828135316
## NP_060601.to.1layhid8 1.0010580409
## NP_005931.to.1layhid8 -1.2209550565
## NP_003003.to.1layhid8 0.8887679273
## NP_113611.to.1layhid8 -1.0859247565
## NP_002002.to.1layhid8 -0.5698605898
## NP_004487.to.1layhid8 -1.1458644071
## NP_008950.to.1layhid8 -1.8782906117
## NP_114172.to.1layhid8 0.4521799475
## NP_001062.to.1layhid8 -0.5260380410
## NP_057547.to.1layhid8 -0.1639560656
## NP_054895.to.1layhid8 -0.0778705632
## NP_001246.to.1layhid8 0.6061631859
## NP_036451.to.1layhid8 1.6669157910
## NP_000624.to.1layhid8 -0.5002204783
## NP_001159.to.1layhid8 -0.4681492936
## Intercept.to.1layhid9 -1.2051619920
## NP_057427.to.1layhid9 0.3992172265
## NP_002408.to.1layhid9 -0.4169661785
## NP_000415.to.1layhid9 0.9768595395
## NP_000413.to.1layhid9 2.8815730527
## NP_000517.to.1layhid9 0.3992334804
## NP_004439.to.1layhid9 -0.7788535935
## NP_005219.to.1layhid9 -0.4336742464
## NP_058519.to.1layhid9 -0.1387314995
## NP_058518.to.1layhid9 0.7951080337
## NP_001116539.to.1layhid9 0.4621594644
## NP_061155.to.1layhid9 -0.1504604411
## NP_001035932.to.1layhid9 -0.1246624213
## NP_077006.to.1layhid9 -0.2945708324
## NP_000917.to.1layhid9 0.8191372184
## NP_065178.to.1layhid9 -0.3071850940
## NP_006836.to.1layhid9 0.1019700347
## NP_006614.to.1layhid9 0.6930303371
## NP_001784.to.1layhid9 -1.0073871460
## NP_006092.to.1layhid9 1.7899648127
## NP_001153651.to.1layhid9 -0.3193575531
## NP_001159403.to.1layhid9 -1.0015044078
## NP_000116.to.1layhid9 -0.5351234565
## NP_004314.to.1layhid9 1.7353892496
## NP_060601.to.1layhid9 1.4495858054
## NP_005931.to.1layhid9 0.3186664338
## NP_003003.to.1layhid9 0.5503602508
## NP_113611.to.1layhid9 0.2877405245
## NP_002002.to.1layhid9 -0.4305257319
## NP_004487.to.1layhid9 0.1985149868
## NP_008950.to.1layhid9 -1.4185519675
## NP_114172.to.1layhid9 0.6100004058
## NP_001062.to.1layhid9 -0.0130870655
## NP_057547.to.1layhid9 -0.7177943341
## NP_054895.to.1layhid9 2.2696861128
## NP_001246.to.1layhid9 -0.1835660420
## NP_036451.to.1layhid9 0.4900022403
## NP_000624.to.1layhid9 -0.3921461889
## NP_001159.to.1layhid9 1.5154928783
## Intercept.to.1layhid10 -1.0635794388
## NP_057427.to.1layhid10 -0.5929337996
## NP_002408.to.1layhid10 -1.2978765944
## NP_000415.to.1layhid10 -1.4349033422
## NP_000413.to.1layhid10 1.0679086254
## NP_000517.to.1layhid10 -0.4373139539
## NP_004439.to.1layhid10 -0.9941685191
## NP_005219.to.1layhid10 0.6495013161
## NP_058519.to.1layhid10 -0.1517516766
## NP_058518.to.1layhid10 0.2062339211
## NP_001116539.to.1layhid10 -0.1580366677
## NP_061155.to.1layhid10 -0.2212020260
## NP_001035932.to.1layhid10 0.8716104403
## NP_077006.to.1layhid10 -0.6793998230
## NP_000917.to.1layhid10 1.2517187413
## NP_065178.to.1layhid10 -0.1966123235
## NP_006836.to.1layhid10 -0.0300689845
## NP_006614.to.1layhid10 0.3436421273
## NP_001784.to.1layhid10 -2.1202457134
## NP_006092.to.1layhid10 -1.0926693861
## NP_001153651.to.1layhid10 0.3871627402
## NP_001159403.to.1layhid10 -0.9047627186
## NP_000116.to.1layhid10 1.0600079816
## NP_004314.to.1layhid10 1.2714100536
## NP_060601.to.1layhid10 1.5500936683
## NP_005931.to.1layhid10 -0.7086976084
## NP_003003.to.1layhid10 -1.1201660458
## NP_113611.to.1layhid10 -0.7064529273
## NP_002002.to.1layhid10 1.0830597526
## NP_004487.to.1layhid10 -0.7687800693
## NP_008950.to.1layhid10 0.9085873241
## NP_114172.to.1layhid10 -1.2729999954
## NP_001062.to.1layhid10 1.2920698833
## NP_057547.to.1layhid10 -0.7240824623
## NP_054895.to.1layhid10 -0.5882002829
## NP_001246.to.1layhid10 -0.2722111925
## NP_036451.to.1layhid10 1.5777318913
## NP_000624.to.1layhid10 0.9196915005
## NP_001159.to.1layhid10 -0.6280400439
## Intercept.to.1layhid11 0.7877451629
## NP_057427.to.1layhid11 0.2514446072
## NP_002408.to.1layhid11 0.4961758162
## NP_000415.to.1layhid11 0.6774739792
## NP_000413.to.1layhid11 1.3472510076
## NP_000517.to.1layhid11 -1.0570061701
## NP_004439.to.1layhid11 -0.5002370479
## NP_005219.to.1layhid11 -1.6960170937
## NP_058519.to.1layhid11 -2.1489963048
## NP_058518.to.1layhid11 0.4260198636
## NP_001116539.to.1layhid11 0.3684898048
## NP_061155.to.1layhid11 0.0144047489
## NP_001035932.to.1layhid11 -0.9308787733
## NP_077006.to.1layhid11 -2.1252703921
## NP_000917.to.1layhid11 1.5179267465
## NP_065178.to.1layhid11 -0.3193741163
## NP_006836.to.1layhid11 0.1601328781
## NP_006614.to.1layhid11 -0.5118840122
## NP_001784.to.1layhid11 1.2704534915
## NP_006092.to.1layhid11 -1.8661989610
## NP_001153651.to.1layhid11 -0.2254393776
## NP_001159403.to.1layhid11 -0.9200990892
## NP_000116.to.1layhid11 -0.0406236555
## NP_004314.to.1layhid11 1.2784048291
## NP_060601.to.1layhid11 -1.1470833720
## NP_005931.to.1layhid11 -1.4297386493
## NP_003003.to.1layhid11 -0.4478469724
## NP_113611.to.1layhid11 -1.0180231044
## NP_002002.to.1layhid11 0.0908693751
## NP_004487.to.1layhid11 -0.2168684199
## NP_008950.to.1layhid11 -0.6632731496
## NP_114172.to.1layhid11 0.8376178912
## NP_001062.to.1layhid11 -0.5357665405
## NP_057547.to.1layhid11 -0.2237478109
## NP_054895.to.1layhid11 -1.2120068917
## NP_001246.to.1layhid11 0.8399076969
## NP_036451.to.1layhid11 1.4008761075
## NP_000624.to.1layhid11 -0.0428619305
## NP_001159.to.1layhid11 -2.3307852316
## Intercept.to.1layhid12 -0.5767782855
## NP_057427.to.1layhid12 0.7502462806
## NP_002408.to.1layhid12 -0.9021437314
## NP_000415.to.1layhid12 -1.7051373796
## NP_000413.to.1layhid12 -0.3089619362
## NP_000517.to.1layhid12 -1.1518855258
## NP_004439.to.1layhid12 0.3490246128
## NP_005219.to.1layhid12 0.5584185261
## NP_058519.to.1layhid12 1.3792237785
## NP_058518.to.1layhid12 -0.1249590356
## NP_001116539.to.1layhid12 0.4434468105
## NP_061155.to.1layhid12 0.9785208426
## NP_001035932.to.1layhid12 -0.2970010080
## NP_077006.to.1layhid12 1.1055444337
## NP_000917.to.1layhid12 0.5665370374
## NP_065178.to.1layhid12 1.1587046924
## NP_006836.to.1layhid12 0.0249894236
## NP_006614.to.1layhid12 -0.1182339615
## NP_001784.to.1layhid12 -0.0324638599
## NP_006092.to.1layhid12 -0.3240624614
## NP_001153651.to.1layhid12 -0.1766306686
## NP_001159403.to.1layhid12 -3.0932991490
## NP_000116.to.1layhid12 -1.1861432266
## NP_004314.to.1layhid12 0.0700867296
## NP_060601.to.1layhid12 -0.2223965927
## NP_005931.to.1layhid12 -0.7582517360
## NP_003003.to.1layhid12 -2.1436943314
## NP_113611.to.1layhid12 0.6108408118
## NP_002002.to.1layhid12 0.4963872334
## NP_004487.to.1layhid12 1.2719551297
## NP_008950.to.1layhid12 0.9929203126
## NP_114172.to.1layhid12 0.6781969476
## NP_001062.to.1layhid12 0.6928044980
## NP_057547.to.1layhid12 -0.0063159164
## NP_054895.to.1layhid12 1.5077680965
## NP_001246.to.1layhid12 2.1762068169
## NP_036451.to.1layhid12 -1.1422598375
## NP_000624.to.1layhid12 0.0290694360
## NP_001159.to.1layhid12 0.3593292150
## Intercept.to.1layhid13 1.7463921628
## NP_057427.to.1layhid13 0.4116776363
## NP_002408.to.1layhid13 0.5133998396
## NP_000415.to.1layhid13 1.6331279036
## NP_000413.to.1layhid13 -2.3569630385
## NP_000517.to.1layhid13 -2.9881072857
## NP_004439.to.1layhid13 -1.7186765711
## NP_005219.to.1layhid13 -0.9517725272
## NP_058519.to.1layhid13 1.8861129165
## NP_058518.to.1layhid13 2.5217181035
## NP_001116539.to.1layhid13 -0.5125220741
## NP_061155.to.1layhid13 -1.1549761443
## NP_001035932.to.1layhid13 -0.6693478719
## NP_077006.to.1layhid13 -0.1619915939
## NP_000917.to.1layhid13 0.3381362601
## NP_065178.to.1layhid13 2.0628138950
## NP_006836.to.1layhid13 0.4871476450
## NP_006614.to.1layhid13 -0.1516467014
## NP_001784.to.1layhid13 -1.3457153413
## NP_006092.to.1layhid13 0.4604353980
## NP_001153651.to.1layhid13 0.1688397942
## NP_001159403.to.1layhid13 0.6370541898
## NP_000116.to.1layhid13 0.0524702344
## NP_004314.to.1layhid13 -1.3439440349
## NP_060601.to.1layhid13 0.5730302394
## NP_005931.to.1layhid13 0.0729526185
## NP_003003.to.1layhid13 -1.2205240052
## NP_113611.to.1layhid13 1.7803818779
## NP_002002.to.1layhid13 -0.3146610824
## NP_004487.to.1layhid13 1.0623465160
## NP_008950.to.1layhid13 -0.2846448039
## NP_114172.to.1layhid13 -0.2958534709
## NP_001062.to.1layhid13 -0.9277367415
## NP_057547.to.1layhid13 1.3993850424
## NP_054895.to.1layhid13 2.4679067366
## NP_001246.to.1layhid13 1.4931950256
## NP_036451.to.1layhid13 1.3765034564
## NP_000624.to.1layhid13 0.2589024108
## NP_001159.to.1layhid13 1.3289344585
## Intercept.to.1layhid14 0.2188227951
## NP_057427.to.1layhid14 0.1815537329
## NP_002408.to.1layhid14 0.2215493703
## NP_000415.to.1layhid14 1.5908851538
## NP_000413.to.1layhid14 1.6219688161
## NP_000517.to.1layhid14 0.7801209996
## NP_004439.to.1layhid14 -0.5806318328
## NP_005219.to.1layhid14 -0.7631717454
## NP_058519.to.1layhid14 -1.2845893942
## NP_058518.to.1layhid14 0.4259783022
## NP_001116539.to.1layhid14 0.9426348263
## NP_061155.to.1layhid14 0.5689745477
## NP_001035932.to.1layhid14 -1.5387501959
## NP_077006.to.1layhid14 -1.3339282793
## NP_000917.to.1layhid14 0.3084058854
## NP_065178.to.1layhid14 -1.1893228589
## NP_006836.to.1layhid14 -0.4292224916
## NP_006614.to.1layhid14 -0.5846271146
## NP_001784.to.1layhid14 0.7939008383
## NP_006092.to.1layhid14 0.9838030083
## NP_001153651.to.1layhid14 -1.9848642602
## NP_001159403.to.1layhid14 1.0677535714
## NP_000116.to.1layhid14 -0.7737142545
## NP_004314.to.1layhid14 0.0481722771
## NP_060601.to.1layhid14 -0.5785493663
## NP_005931.to.1layhid14 -1.5420683106
## NP_003003.to.1layhid14 2.2610478065
## NP_113611.to.1layhid14 -0.0462037869
## NP_002002.to.1layhid14 0.9646477499
## NP_004487.to.1layhid14 0.0506379887
## NP_008950.to.1layhid14 0.9345333719
## NP_114172.to.1layhid14 -0.0622675330
## NP_001062.to.1layhid14 0.1569287449
## NP_057547.to.1layhid14 1.1180979940
## NP_054895.to.1layhid14 1.6736256425
## NP_001246.to.1layhid14 0.1927955367
## NP_036451.to.1layhid14 1.1347665805
## NP_000624.to.1layhid14 -0.9793781787
## NP_001159.to.1layhid14 -0.0010306766
## Intercept.to.1layhid15 2.0748649424
## NP_057427.to.1layhid15 1.0009647691
## NP_002408.to.1layhid15 0.7886313484
## NP_000415.to.1layhid15 0.3736475958
## NP_000413.to.1layhid15 0.2395435035
## NP_000517.to.1layhid15 -1.2718989847
## NP_004439.to.1layhid15 0.4195135114
## NP_005219.to.1layhid15 -0.4321716007
## NP_058519.to.1layhid15 -0.7080717763
## NP_058518.to.1layhid15 0.4199207619
## NP_001116539.to.1layhid15 -0.5688352861
## NP_061155.to.1layhid15 1.1656040147
## NP_001035932.to.1layhid15 1.0644985968
## NP_077006.to.1layhid15 2.1565060407
## NP_000917.to.1layhid15 0.5101750560
## NP_065178.to.1layhid15 1.0501729617
## NP_006836.to.1layhid15 3.2819329719
## NP_006614.to.1layhid15 -0.8763049347
## NP_001784.to.1layhid15 0.0515338500
## NP_006092.to.1layhid15 0.0310391418
## NP_001153651.to.1layhid15 1.4366055917
## NP_001159403.to.1layhid15 -0.0475017442
## NP_000116.to.1layhid15 2.7045011084
## NP_004314.to.1layhid15 0.8229477985
## NP_060601.to.1layhid15 -0.2659976732
## NP_005931.to.1layhid15 -0.7191951080
## NP_003003.to.1layhid15 -0.6453201277
## NP_113611.to.1layhid15 0.0098887472
## NP_002002.to.1layhid15 0.9426381643
## NP_004487.to.1layhid15 1.4651922988
## NP_008950.to.1layhid15 -1.7614011061
## NP_114172.to.1layhid15 -0.9330432895
## NP_001062.to.1layhid15 0.2672778318
## NP_057547.to.1layhid15 -0.0928145460
## NP_054895.to.1layhid15 0.5248408958
## NP_001246.to.1layhid15 1.0542650966
## NP_036451.to.1layhid15 0.9675007810
## NP_000624.to.1layhid15 1.5407417744
## NP_001159.to.1layhid15 -0.6931446276
## Intercept.to.1layhid16 1.0323943505
## NP_057427.to.1layhid16 0.4285420870
## NP_002408.to.1layhid16 0.0435073694
## NP_000415.to.1layhid16 0.2378426224
## NP_000413.to.1layhid16 0.5303833437
## NP_000517.to.1layhid16 0.6850843320
## NP_004439.to.1layhid16 -0.3867059928
## NP_005219.to.1layhid16 1.7476834711
## NP_058519.to.1layhid16 -0.7885285879
## NP_058518.to.1layhid16 -1.1441955252
## NP_001116539.to.1layhid16 -0.5600278500
## NP_061155.to.1layhid16 2.4431391193
## NP_001035932.to.1layhid16 -0.2510970612
## NP_077006.to.1layhid16 0.5697922688
## NP_000917.to.1layhid16 2.3484237708
## NP_065178.to.1layhid16 -0.1288609091
## NP_006836.to.1layhid16 0.2148654620
## NP_006614.to.1layhid16 -0.4639502454
## NP_001784.to.1layhid16 0.7455663056
## NP_006092.to.1layhid16 0.0118072826
## NP_001153651.to.1layhid16 0.1817585395
## NP_001159403.to.1layhid16 1.1508368643
## NP_000116.to.1layhid16 -0.5683201725
## NP_004314.to.1layhid16 -0.0269673088
## NP_060601.to.1layhid16 0.7562563992
## NP_005931.to.1layhid16 -0.4424236654
## NP_003003.to.1layhid16 0.4243507278
## NP_113611.to.1layhid16 -1.0242415019
## NP_002002.to.1layhid16 -0.7395268696
## NP_004487.to.1layhid16 0.3144994377
## NP_008950.to.1layhid16 0.4907711995
## NP_114172.to.1layhid16 1.4190137006
## NP_001062.to.1layhid16 1.8307351002
## NP_057547.to.1layhid16 -2.3849370896
## NP_054895.to.1layhid16 -0.8007318201
## NP_001246.to.1layhid16 -0.2078183251
## NP_036451.to.1layhid16 -0.0531589804
## NP_000624.to.1layhid16 0.9491539458
## NP_001159.to.1layhid16 2.2096186389
## Intercept.to.1layhid17 -1.7834402950
## NP_057427.to.1layhid17 -0.2031739465
## NP_002408.to.1layhid17 -1.5654973075
## NP_000415.to.1layhid17 0.1855832770
## NP_000413.to.1layhid17 -0.1846334559
## NP_000517.to.1layhid17 0.9185991574
## NP_004439.to.1layhid17 1.1177254833
## NP_005219.to.1layhid17 0.1725871491
## NP_058519.to.1layhid17 0.8557310135
## NP_058518.to.1layhid17 0.6209072910
## NP_001116539.to.1layhid17 0.1157647113
## NP_061155.to.1layhid17 -1.6794867823
## NP_001035932.to.1layhid17 0.0883047505
## NP_077006.to.1layhid17 -1.1813024725
## NP_000917.to.1layhid17 0.2930490647
## NP_065178.to.1layhid17 -0.8688765147
## NP_006836.to.1layhid17 -0.1116208182
## NP_006614.to.1layhid17 1.0562396352
## NP_001784.to.1layhid17 -0.7722770671
## NP_006092.to.1layhid17 -0.8801270402
## NP_001153651.to.1layhid17 0.9734032802
## NP_001159403.to.1layhid17 1.5466393599
## NP_000116.to.1layhid17 0.6594499107
## NP_004314.to.1layhid17 -0.5070831048
## NP_060601.to.1layhid17 0.7741824114
## NP_005931.to.1layhid17 -0.2405140541
## NP_003003.to.1layhid17 -0.0127377641
## NP_113611.to.1layhid17 0.0103108848
## NP_002002.to.1layhid17 -2.2840294473
## NP_004487.to.1layhid17 -0.1716360883
## NP_008950.to.1layhid17 0.7389882382
## NP_114172.to.1layhid17 1.0070606709
## NP_001062.to.1layhid17 -0.5682606947
## NP_057547.to.1layhid17 0.7849028881
## NP_054895.to.1layhid17 -1.5341465825
## NP_001246.to.1layhid17 2.1288188976
## NP_036451.to.1layhid17 -1.4185643873
## NP_000624.to.1layhid17 0.2078547202
## NP_001159.to.1layhid17 -1.2990079728
## Intercept.to.1layhid18 0.4553756368
## NP_057427.to.1layhid18 -2.0059006348
## NP_002408.to.1layhid18 -0.9486015024
## NP_000415.to.1layhid18 0.4500488154
## NP_000413.to.1layhid18 -0.9305600750
## NP_000517.to.1layhid18 -0.7278584410
## NP_004439.to.1layhid18 -1.4909911683
## NP_005219.to.1layhid18 -0.3078867528
## NP_058519.to.1layhid18 -1.1741825454
## NP_058518.to.1layhid18 -0.7737607665
## NP_001116539.to.1layhid18 1.6817156218
## NP_061155.to.1layhid18 0.8903108899
## NP_001035932.to.1layhid18 0.2810635267
## NP_077006.to.1layhid18 -1.5986120836
## NP_000917.to.1layhid18 0.9039934754
## NP_065178.to.1layhid18 -0.3026242336
## NP_006836.to.1layhid18 -0.0740760027
## NP_006614.to.1layhid18 -0.5129607686
## NP_001784.to.1layhid18 0.4231429839
## NP_006092.to.1layhid18 0.2367802899
## NP_001153651.to.1layhid18 1.2204539051
## NP_001159403.to.1layhid18 -0.2546628611
## NP_000116.to.1layhid18 0.4104269538
## NP_004314.to.1layhid18 -1.3904799070
## NP_060601.to.1layhid18 -0.2132083662
## NP_005931.to.1layhid18 -1.7294632666
## NP_003003.to.1layhid18 1.2963444343
## NP_113611.to.1layhid18 0.4946625096
## NP_002002.to.1layhid18 0.3339106987
## NP_004487.to.1layhid18 -0.6070738718
## NP_008950.to.1layhid18 2.4509793255
## NP_114172.to.1layhid18 -0.5403828776
## NP_001062.to.1layhid18 -1.3353255044
## NP_057547.to.1layhid18 -0.5478592258
## NP_054895.to.1layhid18 -2.2426422829
## NP_001246.to.1layhid18 -0.0696655931
## NP_036451.to.1layhid18 -1.0789213729
## NP_000624.to.1layhid18 -0.5379504487
## NP_001159.to.1layhid18 -1.0099497846
## Intercept.to.1layhid19 -1.1043875230
## NP_057427.to.1layhid19 -0.5851986531
## NP_002408.to.1layhid19 2.3110090817
## NP_000415.to.1layhid19 -0.4562074212
## NP_000413.to.1layhid19 0.4592913795
## NP_000517.to.1layhid19 1.1634268874
## NP_004439.to.1layhid19 0.0566731844
## NP_005219.to.1layhid19 -0.3389082987
## NP_058519.to.1layhid19 1.0384279240
## NP_058518.to.1layhid19 0.9437941548
## NP_001116539.to.1layhid19 1.0833554115
## NP_061155.to.1layhid19 1.4927010600
## NP_001035932.to.1layhid19 0.4978765150
## NP_077006.to.1layhid19 -0.5286894512
## NP_000917.to.1layhid19 2.2080803435
## NP_065178.to.1layhid19 0.0536407682
## NP_006836.to.1layhid19 -2.0979493752
## NP_006614.to.1layhid19 -0.6302012558
## NP_001784.to.1layhid19 -0.5799329548
## NP_006092.to.1layhid19 -4.5060801752
## NP_001153651.to.1layhid19 -1.8093349590
## NP_001159403.to.1layhid19 0.1446788809
## NP_000116.to.1layhid19 1.4648926615
## NP_004314.to.1layhid19 0.5344329262
## NP_060601.to.1layhid19 0.4876060537
## NP_005931.to.1layhid19 0.0938547007
## NP_003003.to.1layhid19 -0.6538579862
## NP_113611.to.1layhid19 -0.7961495919
## NP_002002.to.1layhid19 1.9754986563
## NP_004487.to.1layhid19 0.4786819730
## NP_008950.to.1layhid19 0.1852022205
## NP_114172.to.1layhid19 0.4412129293
## NP_001062.to.1layhid19 -0.6387007310
## NP_057547.to.1layhid19 1.7990209291
## NP_054895.to.1layhid19 0.6094715593
## NP_001246.to.1layhid19 -0.3227816739
## NP_036451.to.1layhid19 -0.4308299447
## NP_000624.to.1layhid19 -1.4638833150
## NP_001159.to.1layhid19 0.1508439874
## Intercept.to.1layhid20 1.2349334594
## NP_057427.to.1layhid20 0.1757168376
## NP_002408.to.1layhid20 1.1675608488
## NP_000415.to.1layhid20 0.8174573418
## NP_000413.to.1layhid20 1.6594075056
## NP_000517.to.1layhid20 0.3691313459
## NP_004439.to.1layhid20 0.9340447099
## NP_005219.to.1layhid20 0.3333195124
## NP_058519.to.1layhid20 -0.0482167330
## NP_058518.to.1layhid20 -0.2246032348
## NP_001116539.to.1layhid20 0.5820416854
## NP_061155.to.1layhid20 -0.4696270471
## NP_001035932.to.1layhid20 0.5830847170
## NP_077006.to.1layhid20 -1.6757031609
## NP_000917.to.1layhid20 -0.3200350111
## NP_065178.to.1layhid20 0.6544764513
## NP_006836.to.1layhid20 -0.5886357890
## NP_006614.to.1layhid20 0.6573348003
## NP_001784.to.1layhid20 1.8416891349
## NP_006092.to.1layhid20 0.3225296513
## NP_001153651.to.1layhid20 0.4555927529
## NP_001159403.to.1layhid20 0.9350909339
## NP_000116.to.1layhid20 -2.6605833960
## NP_004314.to.1layhid20 -0.3588649396
## NP_060601.to.1layhid20 -0.4703164076
## NP_005931.to.1layhid20 -1.4507548476
## NP_003003.to.1layhid20 0.2116173709
## NP_113611.to.1layhid20 1.5914253517
## NP_002002.to.1layhid20 0.4977825503
## NP_004487.to.1layhid20 -0.7504064443
## NP_008950.to.1layhid20 0.9735316169
## NP_114172.to.1layhid20 2.7557924359
## NP_001062.to.1layhid20 0.2923471557
## NP_057547.to.1layhid20 -0.0348292789
## NP_054895.to.1layhid20 0.1461346782
## NP_001246.to.1layhid20 0.1690058878
## NP_036451.to.1layhid20 -1.1044307864
## NP_000624.to.1layhid20 0.1046379229
## NP_001159.to.1layhid20 0.5085406076
## Intercept.to.1layhid21 -0.2431558982
## NP_057427.to.1layhid21 -0.2872032952
## NP_002408.to.1layhid21 -1.7161493985
## NP_000415.to.1layhid21 0.7157750543
## NP_000413.to.1layhid21 1.2275047558
## NP_000517.to.1layhid21 -0.1607537911
## NP_004439.to.1layhid21 -2.2661831779
## NP_005219.to.1layhid21 1.0320151454
## NP_058519.to.1layhid21 0.6048144134
## NP_058518.to.1layhid21 1.0341911836
## NP_001116539.to.1layhid21 -0.3835033729
## NP_061155.to.1layhid21 0.0161048524
## NP_001035932.to.1layhid21 0.8147029904
## NP_077006.to.1layhid21 -1.1871278420
## NP_000917.to.1layhid21 -0.4281529431
## NP_065178.to.1layhid21 0.4322640024
## NP_006836.to.1layhid21 -0.2770209839
## NP_006614.to.1layhid21 -1.5891375016
## NP_001784.to.1layhid21 -2.8520434744
## NP_006092.to.1layhid21 -1.9426706321
## NP_001153651.to.1layhid21 0.0827350087
## NP_001159403.to.1layhid21 0.4172975116
## NP_000116.to.1layhid21 0.7059892732
## NP_004314.to.1layhid21 2.8208300540
## NP_060601.to.1layhid21 -1.8737789272
## NP_005931.to.1layhid21 -0.1843129667
## NP_003003.to.1layhid21 0.4660298964
## NP_113611.to.1layhid21 -0.9635362279
## NP_002002.to.1layhid21 1.7012440397
## NP_004487.to.1layhid21 0.4397172704
## NP_008950.to.1layhid21 -0.1136010697
## NP_114172.to.1layhid21 0.1575528611
## NP_001062.to.1layhid21 -0.7585763399
## NP_057547.to.1layhid21 -0.8314305196
## NP_054895.to.1layhid21 -2.0069749151
## NP_001246.to.1layhid21 2.3729034097
## NP_036451.to.1layhid21 1.2082551323
## NP_000624.to.1layhid21 0.5190862338
## NP_001159.to.1layhid21 -1.7782175997
## Intercept.to.1layhid22 0.0322099215
## NP_057427.to.1layhid22 0.0154860711
## NP_002408.to.1layhid22 1.3014704474
## NP_000415.to.1layhid22 -0.4147182140
## NP_000413.to.1layhid22 -0.7892387287
## NP_000517.to.1layhid22 0.3411229617
## NP_004439.to.1layhid22 0.2118966212
## NP_005219.to.1layhid22 -0.8183843332
## NP_058519.to.1layhid22 -0.7399105344
## NP_058518.to.1layhid22 -0.2476548716
## NP_001116539.to.1layhid22 0.0300069350
## NP_061155.to.1layhid22 0.7148668544
## NP_001035932.to.1layhid22 1.7297887187
## NP_077006.to.1layhid22 3.3662187150
## NP_000917.to.1layhid22 1.6369355653
## NP_065178.to.1layhid22 1.9255484014
## NP_006836.to.1layhid22 -1.5016973391
## NP_006614.to.1layhid22 -2.6159217252
## NP_001784.to.1layhid22 -1.0108454999
## NP_006092.to.1layhid22 1.7717899239
## NP_001153651.to.1layhid22 1.8156014096
## NP_001159403.to.1layhid22 -0.6354275756
## NP_000116.to.1layhid22 -0.2963960313
## NP_004314.to.1layhid22 -1.7883871531
## NP_060601.to.1layhid22 -0.5449676372
## NP_005931.to.1layhid22 1.3933571993
## NP_003003.to.1layhid22 -0.0447792792
## NP_113611.to.1layhid22 -1.2899390857
## NP_002002.to.1layhid22 0.0912523055
## NP_004487.to.1layhid22 0.0286921989
## NP_008950.to.1layhid22 -0.9005590288
## NP_114172.to.1layhid22 -1.1517342577
## NP_001062.to.1layhid22 -0.7072079700
## NP_057547.to.1layhid22 -1.7195983016
## NP_054895.to.1layhid22 1.4065934728
## NP_001246.to.1layhid22 0.5843878579
## NP_036451.to.1layhid22 0.0394386945
## NP_000624.to.1layhid22 0.3871748552
## NP_001159.to.1layhid22 0.1894667020
## Intercept.to.1layhid23 -0.3175193916
## NP_057427.to.1layhid23 2.9630226732
## NP_002408.to.1layhid23 -0.6288972213
## NP_000415.to.1layhid23 -1.5190497828
## NP_000413.to.1layhid23 -1.0596964156
## NP_000517.to.1layhid23 -0.1745685305
## NP_004439.to.1layhid23 -0.6179566773
## NP_005219.to.1layhid23 -0.9022441957
## NP_058519.to.1layhid23 0.4018060232
## NP_058518.to.1layhid23 0.4438234756
## NP_001116539.to.1layhid23 0.9890106632
## NP_061155.to.1layhid23 0.1868312887
## NP_001035932.to.1layhid23 0.3888894312
## NP_077006.to.1layhid23 -2.0170927516
## NP_000917.to.1layhid23 -0.9675676773
## NP_065178.to.1layhid23 -0.1685004443
## NP_006836.to.1layhid23 0.9281519980
## NP_006614.to.1layhid23 0.7586807453
## NP_001784.to.1layhid23 0.3834394364
## NP_006092.to.1layhid23 -0.9568173268
## NP_001153651.to.1layhid23 -1.0490373614
## NP_001159403.to.1layhid23 1.3121989061
## NP_000116.to.1layhid23 -0.1331474859
## NP_004314.to.1layhid23 -0.0328011152
## NP_060601.to.1layhid23 0.5222236274
## NP_005931.to.1layhid23 -0.0704653304
## NP_003003.to.1layhid23 -0.2666131767
## NP_113611.to.1layhid23 0.3428440429
## NP_002002.to.1layhid23 -1.2592008510
## NP_004487.to.1layhid23 -0.5612995484
## NP_008950.to.1layhid23 0.6281557291
## NP_114172.to.1layhid23 0.1397341680
## NP_001062.to.1layhid23 -0.1899687182
## NP_057547.to.1layhid23 -1.6265970432
## NP_054895.to.1layhid23 -1.0926057177
## NP_001246.to.1layhid23 -0.5701779940
## NP_036451.to.1layhid23 -0.3005565803
## NP_000624.to.1layhid23 0.6464732318
## NP_001159.to.1layhid23 0.3665784914
## Intercept.to.1layhid24 -1.3705264310
## NP_057427.to.1layhid24 0.5108399988
## NP_002408.to.1layhid24 1.3806102838
## NP_000415.to.1layhid24 0.3316214698
## NP_000413.to.1layhid24 -0.4710927445
## NP_000517.to.1layhid24 1.9876536165
## NP_004439.to.1layhid24 0.2233587468
## NP_005219.to.1layhid24 0.4753304566
## NP_058519.to.1layhid24 0.0672787344
## NP_058518.to.1layhid24 0.1734980089
## NP_001116539.to.1layhid24 -1.8084307003
## NP_061155.to.1layhid24 -1.0086289356
## NP_001035932.to.1layhid24 0.5666874540
## NP_077006.to.1layhid24 0.2071733866
## NP_000917.to.1layhid24 -1.2188822350
## NP_065178.to.1layhid24 -2.0886941954
## NP_006836.to.1layhid24 -0.3341039298
## NP_006614.to.1layhid24 0.9599440295
## NP_001784.to.1layhid24 0.9223974799
## NP_006092.to.1layhid24 -0.7385900920
## NP_001153651.to.1layhid24 0.6469126667
## NP_001159403.to.1layhid24 0.0004710949
## NP_000116.to.1layhid24 -0.2436906058
## NP_004314.to.1layhid24 -0.3757512019
## NP_060601.to.1layhid24 0.2290743286
## NP_005931.to.1layhid24 2.1428431139
## NP_003003.to.1layhid24 -2.4935007649
## NP_113611.to.1layhid24 0.4456760784
## NP_002002.to.1layhid24 -0.1414654720
## NP_004487.to.1layhid24 0.2089574139
## NP_008950.to.1layhid24 -0.4280712155
## NP_114172.to.1layhid24 -0.1776814216
## NP_001062.to.1layhid24 -0.8666796012
## NP_057547.to.1layhid24 0.2151843602
## NP_054895.to.1layhid24 -0.1063119661
## NP_001246.to.1layhid24 1.1719724463
## NP_036451.to.1layhid24 -0.5676379525
## NP_000624.to.1layhid24 0.7996192093
## NP_001159.to.1layhid24 1.5842189335
## Intercept.to.1layhid25 -0.3925805716
## NP_057427.to.1layhid25 -0.4558335695
## NP_002408.to.1layhid25 -0.8165775016
## NP_000415.to.1layhid25 -0.1285507587
## NP_000413.to.1layhid25 -0.4493290435
## NP_000517.to.1layhid25 -0.4349687401
## NP_004439.to.1layhid25 1.0893616976
## NP_005219.to.1layhid25 -0.7704817598
## NP_058519.to.1layhid25 0.2146534184
## NP_058518.to.1layhid25 -0.0144096215
## NP_001116539.to.1layhid25 -0.0628785135
## NP_061155.to.1layhid25 -0.6019894783
## NP_001035932.to.1layhid25 0.2178527714
## NP_077006.to.1layhid25 -0.9442656563
## NP_000917.to.1layhid25 2.1795811405
## NP_065178.to.1layhid25 -1.8640568367
## NP_006836.to.1layhid25 0.2320963399
## NP_006614.to.1layhid25 -0.6661272101
## NP_001784.to.1layhid25 0.3190644287
## NP_006092.to.1layhid25 -0.6689095293
## NP_001153651.to.1layhid25 -2.0705122462
## NP_001159403.to.1layhid25 -1.0287319932
## NP_000116.to.1layhid25 -0.7222249779
## NP_004314.to.1layhid25 0.6898082217
## NP_060601.to.1layhid25 -2.4236400731
## NP_005931.to.1layhid25 -0.4675875517
## NP_003003.to.1layhid25 1.6012011653
## NP_113611.to.1layhid25 0.7806171337
## NP_002002.to.1layhid25 1.0426157960
## NP_004487.to.1layhid25 0.7948000950
## NP_008950.to.1layhid25 0.5212997642
## NP_114172.to.1layhid25 -1.1823960197
## NP_001062.to.1layhid25 -0.4931362091
## NP_057547.to.1layhid25 -0.4887619144
## NP_054895.to.1layhid25 -0.0462612103
## NP_001246.to.1layhid25 -0.4186061852
## NP_036451.to.1layhid25 1.7608290781
## NP_000624.to.1layhid25 -0.8398761713
## NP_001159.to.1layhid25 0.1157912974
## Intercept.to.1layhid26 -0.4013572279
## NP_057427.to.1layhid26 1.0853383119
## NP_002408.to.1layhid26 0.3651469350
## NP_000415.to.1layhid26 0.0238564951
## NP_000413.to.1layhid26 -1.3809859604
## NP_000517.to.1layhid26 -0.8198301528
## NP_004439.to.1layhid26 0.3573807348
## NP_005219.to.1layhid26 -1.1155656707
## NP_058519.to.1layhid26 -0.0387377828
## NP_058518.to.1layhid26 -0.9101031531
## NP_001116539.to.1layhid26 -1.9708832664
## NP_061155.to.1layhid26 1.9146515499
## NP_001035932.to.1layhid26 0.9509108204
## NP_077006.to.1layhid26 -0.0671190224
## NP_000917.to.1layhid26 2.3448805664
## NP_065178.to.1layhid26 0.3560912327
## NP_006836.to.1layhid26 0.2113794721
## NP_006614.to.1layhid26 -0.2873974360
## NP_001784.to.1layhid26 -1.6921528592
## NP_006092.to.1layhid26 -0.2409736229
## NP_001153651.to.1layhid26 0.1095607380
## NP_001159403.to.1layhid26 -0.4576147214
## NP_000116.to.1layhid26 0.3110950456
## NP_004314.to.1layhid26 -1.4376107950
## NP_060601.to.1layhid26 -0.4891991477
## NP_005931.to.1layhid26 -0.8034238245
## NP_003003.to.1layhid26 -0.7090400169
## NP_113611.to.1layhid26 -0.6955806219
## NP_002002.to.1layhid26 0.2558793564
## NP_004487.to.1layhid26 2.8772287674
## NP_008950.to.1layhid26 0.0237722020
## NP_114172.to.1layhid26 -0.7117620266
## NP_001062.to.1layhid26 -0.6387022080
## NP_057547.to.1layhid26 -0.6852316643
## NP_054895.to.1layhid26 -0.7094945829
## NP_001246.to.1layhid26 -0.7503384347
## NP_036451.to.1layhid26 -2.2505994631
## NP_000624.to.1layhid26 0.6891749545
## NP_001159.to.1layhid26 0.3103406286
## Intercept.to.1layhid27 -0.4583063035
## NP_057427.to.1layhid27 0.1909101900
## NP_002408.to.1layhid27 1.5837881900
## NP_000415.to.1layhid27 0.5118682042
## NP_000413.to.1layhid27 0.2862831937
## NP_000517.to.1layhid27 2.4075970549
## NP_004439.to.1layhid27 1.4683834112
## NP_005219.to.1layhid27 -0.0348004003
## NP_058519.to.1layhid27 2.1256270793
## NP_058518.to.1layhid27 1.1787082252
## NP_001116539.to.1layhid27 0.4595056057
## NP_061155.to.1layhid27 -0.0696999006
## NP_001035932.to.1layhid27 -2.7068126125
## NP_077006.to.1layhid27 -1.2434845253
## NP_000917.to.1layhid27 0.1997271368
## NP_065178.to.1layhid27 -1.1792876532
## NP_006836.to.1layhid27 -0.5581222147
## NP_006614.to.1layhid27 -0.4745879337
## NP_001784.to.1layhid27 -1.5110455948
## NP_006092.to.1layhid27 0.2409973571
## NP_001153651.to.1layhid27 0.1710099882
## NP_001159403.to.1layhid27 -2.4932493094
## NP_000116.to.1layhid27 0.9281226716
## NP_004314.to.1layhid27 -0.6177113441
## NP_060601.to.1layhid27 -1.5403046551
## NP_005931.to.1layhid27 0.9543661536
## NP_003003.to.1layhid27 -0.9722850297
## NP_113611.to.1layhid27 -0.8876753608
## NP_002002.to.1layhid27 -0.6702781969
## NP_004487.to.1layhid27 1.4740047951
## NP_008950.to.1layhid27 1.1304580762
## NP_114172.to.1layhid27 -0.5911974060
## NP_001062.to.1layhid27 -0.6554056652
## NP_057547.to.1layhid27 1.7552020646
## NP_054895.to.1layhid27 1.2479968987
## NP_001246.to.1layhid27 0.4098631352
## NP_036451.to.1layhid27 2.1719693183
## NP_000624.to.1layhid27 -0.2447876404
## NP_001159.to.1layhid27 0.1530413571
## Intercept.to.1layhid28 1.0214074354
## NP_057427.to.1layhid28 1.6490670975
## NP_002408.to.1layhid28 -0.1167026560
## NP_000415.to.1layhid28 1.4668969889
## NP_000413.to.1layhid28 0.1135625505
## NP_000517.to.1layhid28 1.3338029952
## NP_004439.to.1layhid28 -0.3083150280
## NP_005219.to.1layhid28 -0.8205898490
## NP_058519.to.1layhid28 -0.1174123939
## NP_058518.to.1layhid28 -0.0060353447
## NP_001116539.to.1layhid28 0.7135032035
## NP_061155.to.1layhid28 0.2387610511
## NP_001035932.to.1layhid28 -1.0581195593
## NP_077006.to.1layhid28 -0.3562079160
## NP_000917.to.1layhid28 0.4899494883
## NP_065178.to.1layhid28 0.2427525355
## NP_006836.to.1layhid28 1.0795701629
## NP_006614.to.1layhid28 1.0192402407
## NP_001784.to.1layhid28 0.7769902363
## NP_006092.to.1layhid28 -1.2874409484
## NP_001153651.to.1layhid28 -0.5507495815
## NP_001159403.to.1layhid28 0.5200652820
## NP_000116.to.1layhid28 0.6764325761
## NP_004314.to.1layhid28 0.9204333291
## NP_060601.to.1layhid28 -2.2544334740
## NP_005931.to.1layhid28 1.6002454170
## NP_003003.to.1layhid28 -0.1339695558
## NP_113611.to.1layhid28 1.8757069321
## NP_002002.to.1layhid28 2.2387668074
## NP_004487.to.1layhid28 -0.1925509832
## NP_008950.to.1layhid28 -1.6791673560
## NP_114172.to.1layhid28 1.7817445267
## NP_001062.to.1layhid28 1.9251239921
## NP_057547.to.1layhid28 1.4719871206
## NP_054895.to.1layhid28 0.3453790477
## NP_001246.to.1layhid28 1.3573367394
## NP_036451.to.1layhid28 -0.4383797927
## NP_000624.to.1layhid28 -0.7516422828
## NP_001159.to.1layhid28 -0.4387488475
## Intercept.to.1layhid29 -1.4570793034
## NP_057427.to.1layhid29 0.1663336621
## NP_002408.to.1layhid29 -0.4356028355
## NP_000415.to.1layhid29 0.7667902581
## NP_000413.to.1layhid29 -0.3792007028
## NP_000517.to.1layhid29 -0.0894473803
## NP_004439.to.1layhid29 0.3458832152
## NP_005219.to.1layhid29 -0.9247115661
## NP_058519.to.1layhid29 -0.5625166467
## NP_058518.to.1layhid29 1.1337292109
## NP_001116539.to.1layhid29 0.1628541388
## NP_061155.to.1layhid29 -0.5474412296
## NP_001035932.to.1layhid29 -1.2522502746
## NP_077006.to.1layhid29 2.7513767349
## NP_000917.to.1layhid29 -0.9203176490
## NP_065178.to.1layhid29 0.5945837107
## NP_006836.to.1layhid29 2.5331461154
## NP_006614.to.1layhid29 -0.2168700895
## NP_001784.to.1layhid29 -0.2648310831
## NP_006092.to.1layhid29 0.4240726931
## NP_001153651.to.1layhid29 -0.3107370345
## NP_001159403.to.1layhid29 1.8380849549
## NP_000116.to.1layhid29 -1.1536573596
## NP_004314.to.1layhid29 0.8118402074
## NP_060601.to.1layhid29 0.6110842440
## NP_005931.to.1layhid29 -1.0203482038
## NP_003003.to.1layhid29 -3.2064948334
## NP_113611.to.1layhid29 -1.3184995402
## NP_002002.to.1layhid29 -1.3758411791
## NP_004487.to.1layhid29 -0.2387244625
## NP_008950.to.1layhid29 -0.7025930082
## NP_114172.to.1layhid29 0.5880743920
## NP_001062.to.1layhid29 0.6042302783
## NP_057547.to.1layhid29 -2.0815157158
## NP_054895.to.1layhid29 -0.3271027076
## NP_001246.to.1layhid29 0.7344603315
## NP_036451.to.1layhid29 -1.4453703582
## NP_000624.to.1layhid29 1.2258857577
## NP_001159.to.1layhid29 0.9651388939
## Intercept.to.1layhid30 -0.7817245948
## NP_057427.to.1layhid30 -0.0144080706
## NP_002408.to.1layhid30 0.2547339386
## NP_000415.to.1layhid30 -1.0455804366
## NP_000413.to.1layhid30 -1.7997889225
## NP_000517.to.1layhid30 -0.1976476660
## NP_004439.to.1layhid30 -0.2411605778
## NP_005219.to.1layhid30 -0.7586311803
## NP_058519.to.1layhid30 -0.2497437592
## NP_058518.to.1layhid30 0.9534941475
## NP_001116539.to.1layhid30 0.0164060174
## NP_061155.to.1layhid30 0.3122584436
## NP_001035932.to.1layhid30 -0.1995486025
## NP_077006.to.1layhid30 0.3790504128
## NP_000917.to.1layhid30 2.2128326285
## NP_065178.to.1layhid30 -0.7121636043
## NP_006836.to.1layhid30 -0.1400909159
## NP_006614.to.1layhid30 -1.4644686487
## NP_001784.to.1layhid30 0.1378078831
## NP_006092.to.1layhid30 0.7534873089
## NP_001153651.to.1layhid30 -0.4246002563
## NP_001159403.to.1layhid30 -1.2695801588
## NP_000116.to.1layhid30 0.2297873326
## NP_004314.to.1layhid30 0.7821603560
## NP_060601.to.1layhid30 -1.5775298172
## NP_005931.to.1layhid30 1.2477879967
## NP_003003.to.1layhid30 -1.6178951941
## NP_113611.to.1layhid30 -0.9169341418
## NP_002002.to.1layhid30 -1.4323459064
## NP_004487.to.1layhid30 1.0613563073
## NP_008950.to.1layhid30 1.8082348176
## NP_114172.to.1layhid30 1.0365737018
## NP_001062.to.1layhid30 -1.8684479775
## NP_057547.to.1layhid30 -0.7677989213
## NP_054895.to.1layhid30 1.1015351375
## NP_001246.to.1layhid30 1.8615832000
## NP_036451.to.1layhid30 -1.9231373805
## NP_000624.to.1layhid30 -0.0298951981
## NP_001159.to.1layhid30 0.0794171919
## Intercept.to.2layhid1 -0.9588090578
## 1layhid1.to.2layhid1 0.3587857443
## 1layhid2.to.2layhid1 0.0215476877
## 1layhid3.to.2layhid1 -1.3524427366
## 1layhid4.to.2layhid1 0.0821795320
## 1layhid5.to.2layhid1 -0.0755256598
## 1layhid6.to.2layhid1 -0.2971937178
## 1layhid7.to.2layhid1 0.2599763620
## 1layhid8.to.2layhid1 -1.8518798978
## 1layhid9.to.2layhid1 -1.1802990760
## 1layhid10.to.2layhid1 -1.3144531944
## 1layhid11.to.2layhid1 -1.6663993951
## 1layhid12.to.2layhid1 -0.8693489158
## 1layhid13.to.2layhid1 -3.8496641741
## 1layhid14.to.2layhid1 0.6405436361
## 1layhid15.to.2layhid1 -2.8086813317
## 1layhid16.to.2layhid1 1.3436588033
## 1layhid17.to.2layhid1 2.1507674913
## 1layhid18.to.2layhid1 -1.3826315757
## 1layhid19.to.2layhid1 -2.1166236003
## 1layhid20.to.2layhid1 2.4739151856
## 1layhid21.to.2layhid1 1.1170405247
## 1layhid22.to.2layhid1 0.0159083431
## 1layhid23.to.2layhid1 1.4110241172
## 1layhid24.to.2layhid1 1.2221857687
## 1layhid25.to.2layhid1 2.6418779205
## 1layhid26.to.2layhid1 -0.5663042390
## 1layhid27.to.2layhid1 -0.1033316430
## 1layhid28.to.2layhid1 0.5031498882
## 1layhid29.to.2layhid1 -0.3691246105
## 1layhid30.to.2layhid1 0.8209893237
## Intercept.to.2layhid2 0.3725006393
## 1layhid1.to.2layhid2 -0.2987003384
## 1layhid2.to.2layhid2 0.3432146041
## 1layhid3.to.2layhid2 2.1140080038
## 1layhid4.to.2layhid2 -1.5902466013
## 1layhid5.to.2layhid2 -0.1769444645
## 1layhid6.to.2layhid2 -0.1289265241
## 1layhid7.to.2layhid2 0.2333425210
## 1layhid8.to.2layhid2 -0.1122149267
## 1layhid9.to.2layhid2 -0.2372175506
## 1layhid10.to.2layhid2 -0.7626994091
## 1layhid11.to.2layhid2 -0.2421914887
## 1layhid12.to.2layhid2 0.4494337525
## 1layhid13.to.2layhid2 -0.3108518475
## 1layhid14.to.2layhid2 -0.0367336703
## 1layhid15.to.2layhid2 0.3113770458
## 1layhid16.to.2layhid2 -0.1008533567
## 1layhid17.to.2layhid2 1.8807889330
## 1layhid18.to.2layhid2 0.5487802786
## 1layhid19.to.2layhid2 -0.1640828901
## 1layhid20.to.2layhid2 -0.5748064849
## 1layhid21.to.2layhid2 -0.8977714028
## 1layhid22.to.2layhid2 -0.1555421186
## 1layhid23.to.2layhid2 -2.0517263227
## 1layhid24.to.2layhid2 0.7776167078
## 1layhid25.to.2layhid2 -0.5940849036
## 1layhid26.to.2layhid2 0.5417029057
## 1layhid27.to.2layhid2 -1.6006590178
## 1layhid28.to.2layhid2 -1.8001516065
## 1layhid29.to.2layhid2 3.6074293073
## 1layhid30.to.2layhid2 0.3142626860
## Intercept.to.2layhid3 -0.3138774355
## 1layhid1.to.2layhid3 0.1500662097
## 1layhid2.to.2layhid3 0.7842121300
## 1layhid3.to.2layhid3 -1.4242878042
## 1layhid4.to.2layhid3 1.6174713947
## 1layhid5.to.2layhid3 0.3803475482
## 1layhid6.to.2layhid3 0.6371835633
## 1layhid7.to.2layhid3 2.0223414734
## 1layhid8.to.2layhid3 0.3609824832
## 1layhid9.to.2layhid3 -2.1484912414
## 1layhid10.to.2layhid3 -0.2982550605
## 1layhid11.to.2layhid3 0.6552597616
## 1layhid12.to.2layhid3 1.6008592446
## 1layhid13.to.2layhid3 -2.7129916364
## 1layhid14.to.2layhid3 -0.8029337020
## 1layhid15.to.2layhid3 -1.6711940996
## 1layhid16.to.2layhid3 -0.1496516385
## 1layhid17.to.2layhid3 2.6944073770
## 1layhid18.to.2layhid3 -1.4740584247
## 1layhid19.to.2layhid3 -0.7696103742
## 1layhid20.to.2layhid3 1.0514442833
## 1layhid21.to.2layhid3 -0.8407239359
## 1layhid22.to.2layhid3 0.7747812448
## 1layhid23.to.2layhid3 -0.6831518173
## 1layhid24.to.2layhid3 -0.2532060686
## 1layhid25.to.2layhid3 -0.0629133012
## 1layhid26.to.2layhid3 -0.4755392531
## 1layhid27.to.2layhid3 2.0579388072
## 1layhid28.to.2layhid3 0.1789424418
## 1layhid29.to.2layhid3 -0.6872164068
## 1layhid30.to.2layhid3 0.0109857197
## Intercept.to.2layhid4 -0.4674887767
## 1layhid1.to.2layhid4 1.0723967472
## 1layhid2.to.2layhid4 -0.1321770716
## 1layhid3.to.2layhid4 -0.1659826324
## 1layhid4.to.2layhid4 1.3795004834
## 1layhid5.to.2layhid4 0.9664358590
## 1layhid6.to.2layhid4 -0.4906952056
## 1layhid7.to.2layhid4 0.0442877415
## 1layhid8.to.2layhid4 0.5784572573
## 1layhid9.to.2layhid4 -0.9315374811
## 1layhid10.to.2layhid4 0.3611554279
## 1layhid11.to.2layhid4 -0.7170356157
## 1layhid12.to.2layhid4 0.3053849926
## 1layhid13.to.2layhid4 -0.5522973428
## 1layhid14.to.2layhid4 0.4519445562
## 1layhid15.to.2layhid4 -1.5254014807
## 1layhid16.to.2layhid4 -0.2089425939
## 1layhid17.to.2layhid4 -0.9925565230
## 1layhid18.to.2layhid4 -0.2655916142
## 1layhid19.to.2layhid4 1.1135565472
## 1layhid20.to.2layhid4 1.9373077764
## 1layhid21.to.2layhid4 0.7940784037
## 1layhid22.to.2layhid4 -0.1428730262
## 1layhid23.to.2layhid4 -0.6411943241
## 1layhid24.to.2layhid4 0.5548511765
## 1layhid25.to.2layhid4 0.3229018602
## 1layhid26.to.2layhid4 -0.2582752309
## 1layhid27.to.2layhid4 -0.6171844375
## 1layhid28.to.2layhid4 0.4741931379
## 1layhid29.to.2layhid4 -0.3119893288
## 1layhid30.to.2layhid4 -0.1350445148
## Intercept.to.2layhid5 -0.4736692442
## 1layhid1.to.2layhid5 -0.4697377189
## 1layhid2.to.2layhid5 -0.1931556908
## 1layhid3.to.2layhid5 0.7766428577
## 1layhid4.to.2layhid5 -1.7356448284
## 1layhid5.to.2layhid5 0.7195547383
## 1layhid6.to.2layhid5 1.5775581263
## 1layhid7.to.2layhid5 -1.9353962567
## 1layhid8.to.2layhid5 -0.3191611673
## 1layhid9.to.2layhid5 0.4760907323
## 1layhid10.to.2layhid5 -0.9958927986
## 1layhid11.to.2layhid5 0.8444838001
## 1layhid12.to.2layhid5 1.7920378672
## 1layhid13.to.2layhid5 1.7445986306
## 1layhid14.to.2layhid5 2.0476228757
## 1layhid15.to.2layhid5 1.7412234572
## 1layhid16.to.2layhid5 0.3662063905
## 1layhid17.to.2layhid5 0.3157510181
## 1layhid18.to.2layhid5 0.1908115671
## 1layhid19.to.2layhid5 0.4162043612
## 1layhid20.to.2layhid5 -0.6202948239
## 1layhid21.to.2layhid5 -1.1912444905
## 1layhid22.to.2layhid5 -1.0358891244
## 1layhid23.to.2layhid5 -0.2926623679
## 1layhid24.to.2layhid5 -0.8380240756
## 1layhid25.to.2layhid5 -0.2594192876
## 1layhid26.to.2layhid5 -1.4825323199
## 1layhid27.to.2layhid5 -0.6375416895
## 1layhid28.to.2layhid5 0.2704731265
## 1layhid29.to.2layhid5 1.4178556341
## 1layhid30.to.2layhid5 -0.3874765326
## Intercept.to.2layhid6 0.0012264379
## 1layhid1.to.2layhid6 1.5356072441
## 1layhid2.to.2layhid6 1.4143174744
## 1layhid3.to.2layhid6 0.2423283824
## 1layhid4.to.2layhid6 0.7472252740
## 1layhid5.to.2layhid6 -0.5876388740
## 1layhid6.to.2layhid6 1.2898138552
## 1layhid7.to.2layhid6 1.6780572881
## 1layhid8.to.2layhid6 3.1582044018
## 1layhid9.to.2layhid6 -0.6375718557
## 1layhid10.to.2layhid6 1.2901955469
## 1layhid11.to.2layhid6 -0.9834681642
## 1layhid12.to.2layhid6 0.9674704030
## 1layhid13.to.2layhid6 -0.4659086832
## 1layhid14.to.2layhid6 -0.7675717310
## 1layhid15.to.2layhid6 1.6809282503
## 1layhid16.to.2layhid6 -0.5711287144
## 1layhid17.to.2layhid6 0.6875258080
## 1layhid18.to.2layhid6 -0.2590964310
## 1layhid19.to.2layhid6 0.5038396089
## 1layhid20.to.2layhid6 -0.9064253272
## 1layhid21.to.2layhid6 1.1097763708
## 1layhid22.to.2layhid6 0.5434647413
## 1layhid23.to.2layhid6 0.1745394012
## 1layhid24.to.2layhid6 -0.9503939768
## 1layhid25.to.2layhid6 0.2156692761
## 1layhid26.to.2layhid6 1.6389293797
## 1layhid27.to.2layhid6 1.0693278378
## 1layhid28.to.2layhid6 -0.7171366431
## 1layhid29.to.2layhid6 1.8425749003
## 1layhid30.to.2layhid6 0.1152246113
## Intercept.to.2layhid7 0.3896045256
## 1layhid1.to.2layhid7 -1.8420156937
## 1layhid2.to.2layhid7 0.5659866406
## 1layhid3.to.2layhid7 0.8682128486
## 1layhid4.to.2layhid7 -0.0410008658
## 1layhid5.to.2layhid7 1.1673611589
## 1layhid6.to.2layhid7 -0.5808468916
## 1layhid7.to.2layhid7 -1.2361949463
## 1layhid8.to.2layhid7 -1.4139691710
## 1layhid9.to.2layhid7 -2.1052471880
## 1layhid10.to.2layhid7 -1.5855940142
## 1layhid11.to.2layhid7 0.1167414872
## 1layhid12.to.2layhid7 -0.2579215397
## 1layhid13.to.2layhid7 -3.8629599161
## 1layhid14.to.2layhid7 2.9082216330
## 1layhid15.to.2layhid7 -2.6634033268
## 1layhid16.to.2layhid7 -0.1090217956
## 1layhid17.to.2layhid7 1.3724411488
## 1layhid18.to.2layhid7 0.4038063743
## 1layhid19.to.2layhid7 -0.8274156639
## 1layhid20.to.2layhid7 3.6730510054
## 1layhid21.to.2layhid7 -0.1515616553
## 1layhid22.to.2layhid7 -1.8866050439
## 1layhid23.to.2layhid7 0.6042166271
## 1layhid24.to.2layhid7 -0.0597108926
## 1layhid25.to.2layhid7 0.3795961052
## 1layhid26.to.2layhid7 -1.6875295953
## 1layhid27.to.2layhid7 -2.5506539082
## 1layhid28.to.2layhid7 -0.8911115411
## 1layhid29.to.2layhid7 0.3678378263
## 1layhid30.to.2layhid7 -0.5063546010
## Intercept.to.2layhid8 -0.6841589824
## 1layhid1.to.2layhid8 -1.3897993361
## 1layhid2.to.2layhid8 -1.4922060454
## 1layhid3.to.2layhid8 -4.0226708541
## 1layhid4.to.2layhid8 -0.3843197888
## 1layhid5.to.2layhid8 0.0664977915
## 1layhid6.to.2layhid8 -0.0620718634
## 1layhid7.to.2layhid8 -0.2200860427
## 1layhid8.to.2layhid8 0.8630924974
## 1layhid9.to.2layhid8 2.3433228498
## 1layhid10.to.2layhid8 0.8150835676
## 1layhid11.to.2layhid8 -0.2956758276
## 1layhid12.to.2layhid8 1.2843989293
## 1layhid13.to.2layhid8 0.0516546955
## 1layhid14.to.2layhid8 1.7763954559
## 1layhid15.to.2layhid8 2.3760459704
## 1layhid16.to.2layhid8 -0.9577932035
## 1layhid17.to.2layhid8 0.7184100212
## 1layhid18.to.2layhid8 1.0264037733
## 1layhid19.to.2layhid8 0.0551849119
## 1layhid20.to.2layhid8 2.1767911892
## 1layhid21.to.2layhid8 -1.0947738371
## 1layhid22.to.2layhid8 -0.1267239449
## 1layhid23.to.2layhid8 -1.5894301964
## 1layhid24.to.2layhid8 -0.0941246220
## 1layhid25.to.2layhid8 0.6127924368
## 1layhid26.to.2layhid8 -0.7069865700
## 1layhid27.to.2layhid8 -0.6391925545
## 1layhid28.to.2layhid8 1.5331281378
## 1layhid29.to.2layhid8 -0.7276305794
## 1layhid30.to.2layhid8 1.0084194362
## Intercept.to.2layhid9 -0.6586981998
## 1layhid1.to.2layhid9 -0.4674067714
## 1layhid2.to.2layhid9 0.3507950838
## 1layhid3.to.2layhid9 -1.1671174548
## 1layhid4.to.2layhid9 0.1259993012
## 1layhid5.to.2layhid9 4.6464357471
## 1layhid6.to.2layhid9 1.0103362052
## 1layhid7.to.2layhid9 -1.7215841149
## 1layhid8.to.2layhid9 0.1962623561
## 1layhid9.to.2layhid9 -0.8333663402
## 1layhid10.to.2layhid9 -0.5435794964
## 1layhid11.to.2layhid9 -0.4417782383
## 1layhid12.to.2layhid9 0.2990071083
## 1layhid13.to.2layhid9 -0.7328306065
## 1layhid14.to.2layhid9 0.6760060044
## 1layhid15.to.2layhid9 0.2233227369
## 1layhid16.to.2layhid9 0.5858925133
## 1layhid17.to.2layhid9 -0.7194695400
## 1layhid18.to.2layhid9 -1.0876136109
## 1layhid19.to.2layhid9 3.0553704328
## 1layhid20.to.2layhid9 1.1534130668
## 1layhid21.to.2layhid9 1.1291577058
## 1layhid22.to.2layhid9 0.4068259766
## 1layhid23.to.2layhid9 1.2337174447
## 1layhid24.to.2layhid9 -0.5673426783
## 1layhid25.to.2layhid9 2.3258702026
## 1layhid26.to.2layhid9 1.5655148321
## 1layhid27.to.2layhid9 -1.7968749685
## 1layhid28.to.2layhid9 -0.4717133863
## 1layhid29.to.2layhid9 0.9562778922
## 1layhid30.to.2layhid9 1.2152273327
## Intercept.to.2layhid10 -0.1868550432
## 1layhid1.to.2layhid10 -0.3183602980
## 1layhid2.to.2layhid10 1.1901276085
## 1layhid3.to.2layhid10 1.8204237772
## 1layhid4.to.2layhid10 -0.1377436387
## 1layhid5.to.2layhid10 -2.2306733718
## 1layhid6.to.2layhid10 -0.0692883607
## 1layhid7.to.2layhid10 0.5575984941
## 1layhid8.to.2layhid10 -0.0021676384
## 1layhid9.to.2layhid10 -1.5843570240
## 1layhid10.to.2layhid10 0.3080964205
## 1layhid11.to.2layhid10 -0.9890322060
## 1layhid12.to.2layhid10 0.3965966612
## 1layhid13.to.2layhid10 0.5843970634
## 1layhid14.to.2layhid10 -0.7159373449
## 1layhid15.to.2layhid10 1.6820835405
## 1layhid16.to.2layhid10 0.4523201437
## 1layhid17.to.2layhid10 0.6908967669
## 1layhid18.to.2layhid10 -1.3619608201
## 1layhid19.to.2layhid10 0.3023870166
## 1layhid20.to.2layhid10 0.4805871922
## 1layhid21.to.2layhid10 -0.6697948355
## 1layhid22.to.2layhid10 -2.0739667155
## 1layhid23.to.2layhid10 1.0948605267
## 1layhid24.to.2layhid10 1.0510346120
## 1layhid25.to.2layhid10 -0.3962882998
## 1layhid26.to.2layhid10 2.0354809951
## 1layhid27.to.2layhid10 -2.2442934980
## 1layhid28.to.2layhid10 -2.4497087420
## 1layhid29.to.2layhid10 0.1893775175
## 1layhid30.to.2layhid10 -0.5227421252
## Intercept.to.2layhid11 -1.7121181870
## 1layhid1.to.2layhid11 -0.0540461442
## 1layhid2.to.2layhid11 0.1111736056
## 1layhid3.to.2layhid11 1.0966813958
## 1layhid4.to.2layhid11 -1.1128497629
## 1layhid5.to.2layhid11 -0.1137135110
## 1layhid6.to.2layhid11 1.3532095527
## 1layhid7.to.2layhid11 -0.2606613815
## 1layhid8.to.2layhid11 -0.8647896803
## 1layhid9.to.2layhid11 0.1902796949
## 1layhid10.to.2layhid11 -2.4521557322
## 1layhid11.to.2layhid11 -1.0830256793
## 1layhid12.to.2layhid11 2.7015589208
## 1layhid13.to.2layhid11 0.9163501765
## 1layhid14.to.2layhid11 0.5974416915
## 1layhid15.to.2layhid11 1.6374399897
## 1layhid16.to.2layhid11 1.8027422898
## 1layhid17.to.2layhid11 0.8788199014
## 1layhid18.to.2layhid11 1.5415255405
## 1layhid19.to.2layhid11 -2.7447541088
## 1layhid20.to.2layhid11 0.0305673603
## 1layhid21.to.2layhid11 -1.8370972787
## 1layhid22.to.2layhid11 -1.2110314888
## 1layhid23.to.2layhid11 2.5458720414
## 1layhid24.to.2layhid11 0.5196666295
## 1layhid25.to.2layhid11 0.6262919548
## 1layhid26.to.2layhid11 -0.3504171731
## 1layhid27.to.2layhid11 -2.5989216481
## 1layhid28.to.2layhid11 1.8162006167
## 1layhid29.to.2layhid11 1.7050973714
## 1layhid30.to.2layhid11 -1.5396470479
## Intercept.to.2layhid12 -0.8309964701
## 1layhid1.to.2layhid12 -0.3349769305
## 1layhid2.to.2layhid12 -0.7005881450
## 1layhid3.to.2layhid12 2.1097001893
## 1layhid4.to.2layhid12 -0.6169404641
## 1layhid5.to.2layhid12 -1.3500608150
## 1layhid6.to.2layhid12 -0.7140780039
## 1layhid7.to.2layhid12 -0.8862448619
## 1layhid8.to.2layhid12 0.0492583705
## 1layhid9.to.2layhid12 -0.1659486336
## 1layhid10.to.2layhid12 0.9800495144
## 1layhid11.to.2layhid12 0.6434004474
## 1layhid12.to.2layhid12 -0.4463066555
## 1layhid13.to.2layhid12 -0.3565343095
## 1layhid14.to.2layhid12 -1.9815141234
## 1layhid15.to.2layhid12 1.1231298368
## 1layhid16.to.2layhid12 0.2637766417
## 1layhid17.to.2layhid12 0.6799649898
## 1layhid18.to.2layhid12 -0.4451283895
## 1layhid19.to.2layhid12 0.7727739825
## 1layhid20.to.2layhid12 -2.2805978101
## 1layhid21.to.2layhid12 -1.3345243672
## 1layhid22.to.2layhid12 -1.8049306402
## 1layhid23.to.2layhid12 -1.8444208378
## 1layhid24.to.2layhid12 0.0969444329
## 1layhid25.to.2layhid12 -1.1019155302
## 1layhid26.to.2layhid12 1.4290914580
## 1layhid27.to.2layhid12 -0.5724523405
## 1layhid28.to.2layhid12 1.4538713205
## 1layhid29.to.2layhid12 -0.9697919149
## 1layhid30.to.2layhid12 -0.3256961421
## Intercept.to.2layhid13 -0.4266838100
## 1layhid1.to.2layhid13 -2.5884410770
## 1layhid2.to.2layhid13 1.2140659662
## 1layhid3.to.2layhid13 -0.4511853209
## 1layhid4.to.2layhid13 1.0026185556
## 1layhid5.to.2layhid13 3.0392780340
## 1layhid6.to.2layhid13 -0.7875164308
## 1layhid7.to.2layhid13 -0.0659479012
## 1layhid8.to.2layhid13 1.8533730961
## 1layhid9.to.2layhid13 1.5000081915
## 1layhid10.to.2layhid13 1.3355840409
## 1layhid11.to.2layhid13 0.8515537465
## 1layhid12.to.2layhid13 -0.9827438701
## 1layhid13.to.2layhid13 -1.4893067463
## 1layhid14.to.2layhid13 0.4175425821
## 1layhid15.to.2layhid13 -0.1447721109
## 1layhid16.to.2layhid13 -1.7780584077
## 1layhid17.to.2layhid13 0.4394722043
## 1layhid18.to.2layhid13 -1.6372109740
## 1layhid19.to.2layhid13 1.0113250087
## 1layhid20.to.2layhid13 -0.1211779910
## 1layhid21.to.2layhid13 2.2587444423
## 1layhid22.to.2layhid13 -1.3515033299
## 1layhid23.to.2layhid13 1.8999089062
## 1layhid24.to.2layhid13 0.8282503848
## 1layhid25.to.2layhid13 0.6333020700
## 1layhid26.to.2layhid13 0.9135553506
## 1layhid27.to.2layhid13 1.5139278739
## 1layhid28.to.2layhid13 1.5941899383
## 1layhid29.to.2layhid13 -0.1302505437
## 1layhid30.to.2layhid13 -1.4004008075
## Intercept.to.2layhid14 -2.1509671960
## 1layhid1.to.2layhid14 1.9678417163
## 1layhid2.to.2layhid14 1.6408251909
## 1layhid3.to.2layhid14 2.9129991278
## 1layhid4.to.2layhid14 2.8326259449
## 1layhid5.to.2layhid14 -1.1811559315
## 1layhid6.to.2layhid14 0.6484642051
## 1layhid7.to.2layhid14 1.9261725732
## 1layhid8.to.2layhid14 -0.4397788107
## 1layhid9.to.2layhid14 -2.1777348421
## 1layhid10.to.2layhid14 -0.1770334650
## 1layhid11.to.2layhid14 -0.3182637280
## 1layhid12.to.2layhid14 0.1949441595
## 1layhid13.to.2layhid14 0.7203934184
## 1layhid14.to.2layhid14 -1.3806182684
## 1layhid15.to.2layhid14 2.0853328442
## 1layhid16.to.2layhid14 0.2848507958
## 1layhid17.to.2layhid14 1.2244935734
## 1layhid18.to.2layhid14 -0.6292825813
## 1layhid19.to.2layhid14 -0.7191142012
## 1layhid20.to.2layhid14 -0.0718670723
## 1layhid21.to.2layhid14 -0.1521584832
## 1layhid22.to.2layhid14 0.9924188606
## 1layhid23.to.2layhid14 0.4166385613
## 1layhid24.to.2layhid14 0.0490495756
## 1layhid25.to.2layhid14 0.1915785395
## 1layhid26.to.2layhid14 1.2367037020
## 1layhid27.to.2layhid14 0.9896371489
## 1layhid28.to.2layhid14 -0.6735674572
## 1layhid29.to.2layhid14 2.4913338784
## 1layhid30.to.2layhid14 2.8776031261
## Intercept.to.2layhid15 1.1267832793
## 1layhid1.to.2layhid15 -3.5247407168
## 1layhid2.to.2layhid15 -3.6161801237
## 1layhid3.to.2layhid15 -3.9680340859
## 1layhid4.to.2layhid15 1.0580259311
## 1layhid5.to.2layhid15 0.7226695311
## 1layhid6.to.2layhid15 -1.6035233385
## 1layhid7.to.2layhid15 -1.8046213887
## 1layhid8.to.2layhid15 -3.3859211179
## 1layhid9.to.2layhid15 1.6819011087
## 1layhid10.to.2layhid15 0.0005115041
## 1layhid11.to.2layhid15 0.5953184067
## 1layhid12.to.2layhid15 -2.0372133266
## 1layhid13.to.2layhid15 1.6522059316
## 1layhid14.to.2layhid15 2.0991154296
## 1layhid15.to.2layhid15 -0.3049962609
## 1layhid16.to.2layhid15 1.5557308311
## 1layhid17.to.2layhid15 -2.7925798603
## 1layhid18.to.2layhid15 0.4172293900
## 1layhid19.to.2layhid15 -3.4187257911
## 1layhid20.to.2layhid15 -0.2498966030
## 1layhid21.to.2layhid15 1.0918073925
## 1layhid22.to.2layhid15 -3.1095116276
## 1layhid23.to.2layhid15 0.4980978724
## 1layhid24.to.2layhid15 -0.8318892217
## 1layhid25.to.2layhid15 -0.3736104007
## 1layhid26.to.2layhid15 -0.7365428019
## 1layhid27.to.2layhid15 -2.8765328684
## 1layhid28.to.2layhid15 0.6211990507
## 1layhid29.to.2layhid15 -1.3403744011
## 1layhid30.to.2layhid15 -3.5547254677
## Intercept.to.3layhid1 0.3138497319
## 2layhid1.to.3layhid1 1.6091431811
## 2layhid2.to.3layhid1 0.4006491310
## 2layhid3.to.3layhid1 -0.7548238959
## 2layhid4.to.3layhid1 1.8979766976
## 2layhid5.to.3layhid1 -0.2765653234
## 2layhid6.to.3layhid1 -0.9845531169
## 2layhid7.to.3layhid1 2.7116781923
## 2layhid8.to.3layhid1 0.1427778025
## 2layhid9.to.3layhid1 -0.5300597961
## 2layhid10.to.3layhid1 0.5833559142
## 2layhid11.to.3layhid1 2.0236415447
## 2layhid12.to.3layhid1 1.3389450645
## 2layhid13.to.3layhid1 -1.2740125297
## 2layhid14.to.3layhid1 0.1556482971
## 2layhid15.to.3layhid1 1.6044117701
## Intercept.to.3layhid2 -0.2867930399
## 2layhid1.to.3layhid2 3.1942967643
## 2layhid2.to.3layhid2 0.3456330894
## 2layhid3.to.3layhid2 1.6857573597
## 2layhid4.to.3layhid2 0.2963943579
## 2layhid5.to.3layhid2 -0.9328625469
## 2layhid6.to.3layhid2 -2.8173774656
## 2layhid7.to.3layhid2 1.7281310369
## 2layhid8.to.3layhid2 -0.0752937915
## 2layhid9.to.3layhid2 1.5828190080
## 2layhid10.to.3layhid2 -2.6931643756
## 2layhid11.to.3layhid2 1.8708310664
## 2layhid12.to.3layhid2 -0.6333260329
## 2layhid13.to.3layhid2 0.1899151085
## 2layhid14.to.3layhid2 -0.9330077901
## 2layhid15.to.3layhid2 0.1989786442
## Intercept.to.3layhid3 1.6972115446
## 2layhid1.to.3layhid3 -4.3479427537
## 2layhid2.to.3layhid3 -0.1387938458
## 2layhid3.to.3layhid3 -0.7899488744
## 2layhid4.to.3layhid3 -0.3215547038
## 2layhid5.to.3layhid3 -0.3787448512
## 2layhid6.to.3layhid3 0.2007692360
## 2layhid7.to.3layhid3 -2.6376489872
## 2layhid8.to.3layhid3 0.9949794274
## 2layhid9.to.3layhid3 0.5206611987
## 2layhid10.to.3layhid3 -0.6052685254
## 2layhid11.to.3layhid3 -0.0887918700
## 2layhid12.to.3layhid3 1.7821348677
## 2layhid13.to.3layhid3 0.5719441232
## 2layhid14.to.3layhid3 0.9247146654
## 2layhid15.to.3layhid3 -0.5230178907
## Intercept.to.3layhid4 0.8237907369
## 2layhid1.to.3layhid4 0.2650124522
## 2layhid2.to.3layhid4 -0.4943364876
## 2layhid3.to.3layhid4 -0.0687789697
## 2layhid4.to.3layhid4 -0.3692369680
## 2layhid5.to.3layhid4 -3.2060191946
## 2layhid6.to.3layhid4 2.7427194962
## 2layhid7.to.3layhid4 -1.0155803067
## 2layhid8.to.3layhid4 -0.1629441424
## 2layhid9.to.3layhid4 0.0367172266
## 2layhid10.to.3layhid4 -1.8341853396
## 2layhid11.to.3layhid4 -3.1404285011
## 2layhid12.to.3layhid4 -0.8601623457
## 2layhid13.to.3layhid4 1.5939662311
## 2layhid14.to.3layhid4 -0.0533595947
## 2layhid15.to.3layhid4 -0.7520745010
## Intercept.to.3layhid5 -0.6816659730
## 2layhid1.to.3layhid5 -2.4978788802
## 2layhid2.to.3layhid5 1.2987489024
## 2layhid3.to.3layhid5 -1.1833326198
## 2layhid4.to.3layhid5 -0.0589129571
## 2layhid5.to.3layhid5 2.1079167413
## 2layhid6.to.3layhid5 0.4127624705
## 2layhid7.to.3layhid5 -1.1816337309
## 2layhid8.to.3layhid5 -0.2070762422
## 2layhid9.to.3layhid5 -0.4279441552
## 2layhid10.to.3layhid5 0.2767421280
## 2layhid11.to.3layhid5 1.3989122543
## 2layhid12.to.3layhid5 3.5175305759
## 2layhid13.to.3layhid5 -1.4271263470
## 2layhid14.to.3layhid5 -0.3000611785
## 2layhid15.to.3layhid5 -1.1477645007
## Intercept.to.3layhid6 0.4858980551
## 2layhid1.to.3layhid6 0.7903727685
## 2layhid2.to.3layhid6 -2.8382243436
## 2layhid3.to.3layhid6 -0.4698918439
## 2layhid4.to.3layhid6 1.7084697110
## 2layhid5.to.3layhid6 -0.1557039152
## 2layhid6.to.3layhid6 -0.1520831725
## 2layhid7.to.3layhid6 -0.4438442614
## 2layhid8.to.3layhid6 2.9678121974
## 2layhid9.to.3layhid6 0.9696607342
## 2layhid10.to.3layhid6 -1.7385194814
## 2layhid11.to.3layhid6 -2.2500149217
## 2layhid12.to.3layhid6 -0.6399898880
## 2layhid13.to.3layhid6 1.0915766803
## 2layhid14.to.3layhid6 -0.5268682980
## 2layhid15.to.3layhid6 1.6075077145
## Intercept.to.3layhid7 -0.2563902337
## 2layhid1.to.3layhid7 -1.0086164217
## 2layhid2.to.3layhid7 1.0985727318
## 2layhid3.to.3layhid7 -0.3180889727
## 2layhid4.to.3layhid7 1.6721076052
## 2layhid5.to.3layhid7 0.1357547865
## 2layhid6.to.3layhid7 1.2756805097
## 2layhid7.to.3layhid7 -2.4541073034
## 2layhid8.to.3layhid7 -0.2188723500
## 2layhid9.to.3layhid7 1.2359589506
## 2layhid10.to.3layhid7 -1.1980517582
## 2layhid11.to.3layhid7 -0.4979963347
## 2layhid12.to.3layhid7 -1.3829366288
## 2layhid13.to.3layhid7 -0.0214527453
## 2layhid14.to.3layhid7 1.6849483588
## 2layhid15.to.3layhid7 -3.3918463284
## Intercept.to.3layhid8 -1.0689751863
## 2layhid1.to.3layhid8 -1.6871798284
## 2layhid2.to.3layhid8 0.3687128432
## 2layhid3.to.3layhid8 -2.4189061838
## 2layhid4.to.3layhid8 -0.7090981377
## 2layhid5.to.3layhid8 2.0641816291
## 2layhid6.to.3layhid8 0.0521588218
## 2layhid7.to.3layhid8 -1.8200695343
## 2layhid8.to.3layhid8 2.2344182896
## 2layhid9.to.3layhid8 0.3007148270
## 2layhid10.to.3layhid8 -0.2107329397
## 2layhid11.to.3layhid8 2.3259609027
## 2layhid12.to.3layhid8 0.5015967093
## 2layhid13.to.3layhid8 0.1640478001
## 2layhid14.to.3layhid8 0.0289028202
## 2layhid15.to.3layhid8 2.0181824522
## Intercept.to.Basal-like -1.0273462663
## 3layhid1.to.Basal-like 0.3567446669
## 3layhid2.to.Basal-like 0.1180223798
## 3layhid3.to.Basal-like -1.8104784821
## 3layhid4.to.Basal-like -4.0901951408
## 3layhid5.to.Basal-like -1.5337906339
## 3layhid6.to.Basal-like 3.4030528340
## 3layhid7.to.Basal-like -4.2622797302
## 3layhid8.to.Basal-like 1.7880475889
## Intercept.to.HER2-enriched 1.2917069887
## 3layhid1.to.HER2-enriched 0.6286408345
## 3layhid2.to.HER2-enriched 1.8483932550
## 3layhid3.to.HER2-enriched -3.7021307748
## 3layhid4.to.HER2-enriched -2.1093648736
## 3layhid5.to.HER2-enriched -0.3616730271
## 3layhid6.to.HER2-enriched -4.0336538189
## 3layhid7.to.HER2-enriched 1.4240684988
## 3layhid8.to.HER2-enriched -4.1809403207
## Intercept.to.Luminal A -0.3122960608
## 3layhid1.to.Luminal A -2.9942635798
## 3layhid2.to.Luminal A -1.7222248901
## 3layhid3.to.Luminal A 2.3290814401
## 3layhid4.to.Luminal A 3.0144641149
## 3layhid5.to.Luminal A -2.5885986029
## 3layhid6.to.Luminal A 1.7972791038
## 3layhid7.to.Luminal A -0.0421386180
## 3layhid8.to.Luminal A -2.4718873405
## Intercept.to.Luminal B -1.6173731147
## 3layhid1.to.Luminal B -1.4130036005
## 3layhid2.to.Luminal B -1.5131186303
## 3layhid3.to.Luminal B 0.7254037102
## 3layhid4.to.Luminal B -2.5464566437
## 3layhid5.to.Luminal B 1.9222784362
## 3layhid6.to.Luminal B -2.8766167110
## 3layhid7.to.Luminal B 1.3808890494
## 3layhid8.to.Luminal B 3.0433638926neural.network.predicts_pam50 <- compute(neural.network.mod_pam50, test_data_pam50) #prediction
neural.network.res_pam50 = neural.network.predicts_pam50$net.result #results of prediction
print(neural.network.res_pam50)## [,1] [,2] [,3] [,4]
## 3 0.9834284719 1.589789e-02 0.0030887772 0.0150598506
## 5 0.0098193804 8.589919e-02 0.4169372880 0.0004632518
## 16 0.2764088092 4.827259e-02 0.0009503088 0.2303314320
## 18 0.9887181733 1.218936e-02 0.0033357595 0.0127706408
## 19 0.9613744480 2.828674e-02 0.0125129510 0.0032593175
## 22 0.0027142116 1.952306e-01 0.0133587831 0.5728041002
## 29 0.0139484891 9.641368e-01 0.0179730849 0.0110304889
## 30 0.0019510940 1.347617e-02 0.0021737468 0.9747058766
## 36 0.0087584136 3.837981e-05 0.7867109432 0.0810311912
## 37 0.0004563222 2.588398e-03 0.9933529397 0.0042465007
## 42 0.0008912371 4.461894e-04 0.9890232756 0.0094703218
## 43 0.0027132062 6.430272e-05 0.8900424205 0.1521941542
## 48 0.0007141179 8.014605e-04 0.9932516961 0.0060452292
## 52 0.3063584568 5.718982e-01 0.0025476929 0.0494263286
## 59 0.0016574191 1.389918e-02 0.0041218125 0.9733241113
## 61 0.0015536678 1.384717e-04 0.9763511653 0.0281076367
## 69 0.0002166914 4.555793e-02 0.6341925696 0.5289693652
## 70 0.0012881583 7.019149e-03 0.0070932498 0.9788494869
## 73 0.0005593836 9.477181e-04 0.9960679323 0.0087400326
## 74 0.0017497416 5.602455e-03 0.0095940763 0.9815705593
## 79 0.0027627503 1.395436e-02 0.0022271674 0.9747154299neural.network.res_pam50=data.frame("neural.network.res_pam50"=ifelse(max.col(neural.network.res_pam50[ ,1:4])==1, "Basal-like",
ifelse(max.col(neural.network.res_pam50[ ,1:4])==2, "HER2-enriched",
ifelse(max.col(neural.network.res_pam50[ ,1:4])==3, "Luminal A", "Luminal B"))))
confusionMatrix(as.factor(test_data_pam50$PAM50.mRNA), as.factor(neural.network.res_pam50$neural.network.res_pam50))## Confusion Matrix and Statistics
##
## Reference
## Prediction Basal-like HER2-enriched Luminal A Luminal B
## Basal-like 4 0 1 0
## HER2-enriched 0 1 0 2
## Luminal A 0 1 5 0
## Luminal B 0 0 3 4
##
## Overall Statistics
##
## Accuracy : 0.6667
## 95% CI : (0.4303, 0.8541)
## No Information Rate : 0.4286
## P-Value [Acc > NIR] : 0.02405
##
## Kappa : 0.5392
##
## Mcnemar's Test P-Value : NA
##
## Statistics by Class:
##
## Class: Basal-like Class: HER2-enriched Class: Luminal A
## Sensitivity 1.0000 0.50000 0.5556
## Specificity 0.9412 0.89474 0.9167
## Pos Pred Value 0.8000 0.33333 0.8333
## Neg Pred Value 1.0000 0.94444 0.7333
## Prevalence 0.1905 0.09524 0.4286
## Detection Rate 0.1905 0.04762 0.2381
## Detection Prevalence 0.2381 0.14286 0.2857
## Balanced Accuracy 0.9706 0.69737 0.7361
## Class: Luminal B
## Sensitivity 0.6667
## Specificity 0.8000
## Pos Pred Value 0.5714
## Neg Pred Value 0.8571
## Prevalence 0.2857
## Detection Rate 0.1905
## Detection Prevalence 0.3333
## Balanced Accuracy 0.7333